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15. 3D reconstruction of mirror-like surfaces by smart deflectometry

Author

David Fofi, Olivier Aubreton, Lisa Poirier-Herbeck, Equipe VIBOT - VIsion pour la roBOTique [ImViA EA7535 - ERL CNRS 6000] (VIBOT), Centre National de la Recherche Scientifique (CNRS)-Imagerie et Vision Artificielle [Dijon] (ImViA), Université de Bourgogne (UB)-Université de Bourgogne (UB), Laboratoire d'Electronique, d'Informatique et d'Image [EA 7508] (Le2i), Université de Technologie de Belfort-Montbeliard (UTBM)-Université de Bourgogne (UB)-École Nationale Supérieure d'Arts et Métiers (ENSAM), Arts et Métiers Sciences et Technologies, HESAM Université (HESAM)-HESAM Université (HESAM)-Arts et Métiers Sciences et Technologies, HESAM Université (HESAM)-HESAM Université (HESAM)-AgroSup Dijon - Institut National Supérieur des Sciences Agronomiques, de l'Alimentation et de l'Environnement-Centre National de la Recherche Scientifique (CNRS), Laboratoire Electronique, Informatique et Image [UMR6306] (Le2i), Université de Bourgogne (UB)-Centre National de la Recherche Scientifique (CNRS)-École Nationale Supérieure d'Arts et Métiers (ENSAM), and HESAM Université (HESAM)-HESAM Université (HESAM)-AgroSup Dijon - Institut National Supérieur des Sciences Agronomiques, de l'Alimentation et de l'Environnement

Subjects
mirror-like, business.industry, Computer science, deflectometry, 3D reconstruction, ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION, [INFO.INFO-CV]Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV], 02 engineering and technology, 021001 nanoscience & nanotechnology, 01 natural sciences, 010309 optics, Optics, 0103 physical sciences, specular, 0210 nano-technology, business, ComputingMethodologies_COMPUTERGRAPHICS
Abstract

International audience; Specular and mirror-like surfaces are difficult to reconstruct by the fact that light of the surrounding environment is reflected off the surface. Nowadays, it is still a challenge in many application fields to get a fast and accurate reconstruction of specular objects. 3D acquisition by deflectometry involves estimating the 3D profile of a specular surface by analyzing the image of a light source or a pattern captured by a camera after reflection on the surface. These techniques require the knowledge of the location and the orientation of the camera and the orientation of the light source. If camera calibration is a process widely known and controlled and guaranteeing good accuracy, estimating the orientation of the light source is still an issue. We propose to overcome it by using a light source whose the color changes according to the orientation. Indeed, we implement a vision system of light source's position recognition by the color in simulation with the 3D computer graphics software Blender, we define a calibration technique and we suggest some possible light sources to export our simulated vision system to reality. Plus, we explore the potential benefit of light field in order to model such a system.

Published
2021
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16. Polarimetric imaging method for surface quality evaluation of a liquid metal pool obtained during welding

Author

Antoine Mannucci, Abir Zanzouri Kechiche, Alexandre Mathieu, Christophe Stolz, and Olivier Aubreton

Subjects
Liquid metal, Materials science, business.industry, General Engineering, Energy-dispersive X-ray spectroscopy, Context (language use), 02 engineering and technology, Welding, 01 natural sciences, Atomic and Molecular Physics, and Optics, law.invention, 010309 optics, symbols.namesake, 020210 optoelectronics & photonics, Optics, law, 0103 physical sciences, Thermal, 0202 electrical engineering, electronic engineering, information engineering, Weld pool, symbols, Stokes parameters, Arc welding, business
Abstract

Conventional methods used to inspect the molten pool surface induced by arc welding processes are based on post-welding evaluation using destructive or semi-destructive testing methods. Many attempts were performed to develop alternative and nondestructive tests. In this context, a polarimetric vision methodology is evaluated. The polarimetric parameters are measured from the thermal radiations emitted by the hot liquid metal at a wavelength within an arc plasma blind spectral window. The Stokes parameters and their segmentation within a Gaussian mixture model allow to discriminate artifacts at the surface of the liquid metal. After weld pool solidification, the use of scanning electron microscopy and energy dispersive spectroscopy allow to identify the artifacts, i.e., floating alumina particles.

Published
2020
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17. Special Section Guest Editorial: Quality Control by Artificial Vision VI

Author

Kunihito Kato, Christophe Cudel, Olivier Aubreton, and Kazunori Umeda

Subjects
Multimedia, Computer science, Machine vision, media_common.quotation_subject, Control (management), computer.software_genre, Reflectivity, Atomic and Molecular Physics, and Optics, Computer Science Applications, 3d vision, Artificial vision, Special section, Quality (business), Electrical and Electronic Engineering, computer, media_common
Abstract

This guest editorial introduces the Special Section on Quality Control by Artificial Vision VI.

Published
2020
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23. Thermal camera calibration with cooled down chessboard

Author

Olivier Aubreton, Cyrille Migniot, T. Herrmann, Imagerie et Vision Artificielle [Dijon] (ImViA), Université de Bourgogne (UB), Equipe CORES [ImViA - EA7535] (CORES), Université de Bourgogne (UB)-Université de Bourgogne (UB), Equipe VIBOT - VIsion pour la roBOTique [ImViA EA7535 - ERL CNRS 6000] (VIBOT), Centre National de la Recherche Scientifique (CNRS)-Imagerie et Vision Artificielle [Dijon] (ImViA), and Migniot, Cyrille

Subjects
Materials science, Optics, business.industry, Thermal, [INFO]Computer Science [cs], [INFO] Computer Science [cs], business, Camera resectioning
Abstract

International audience; Calibration of a camera have various applications in computer vision. This process is particularly challenging with a thermal camera instead of a standard color one. A calibration target with two layers of different thermal emissivity is commonly used but reflects appear and degrade the corner extraction of the chessboard. While traditional and commonly used methods heat the target chessboard, we cool it down that inverts the distribution of emission of the two layers. The reflects on the reflective layer enhance the contrast instead of decreasing it. Experiments on various configurations and orientations demonstrate the superiority of the proposed method.

Published
2020
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24. Using polarimetric imaging for automatic segmentation of weld pool

Author

Christophe Stolz, Olivier Aubreton, A Zanzouri Kechiche, Alexandre Mathieu, Equipe VIBOT - VIsion pour la roBOTique [ImViA EA7535 - ERL CNRS 6000] (VIBOT), Centre National de la Recherche Scientifique (CNRS)-Imagerie et Vision Artificielle [Dijon] (ImViA), Université de Bourgogne (UB)-Université de Bourgogne (UB), Laboratoire Interdisciplinaire Carnot de Bourgogne [Dijon] (LICB), and Université de Bourgogne (UB)-Université de Technologie de Belfort-Montbeliard (UTBM)-Centre National de la Recherche Scientifique (CNRS)

Subjects
POLARIZATION STATE, Computer science, Aperture, Polarimetry, 02 engineering and technology, Welding, 01 natural sciences, [INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI], law.invention, 010309 optics, Level set, weld pool surface, law, 0103 physical sciences, Computer vision, Segmentation, [PHYS.PHYS.PHYS-OPTICS]Physics [physics]/Physics [physics]/Optics [physics.optics], SURFACE ORIENTATIONS, business.industry, segmentation, Polarimetric imaging, specular surface, Image segmentation, TRANSPARENT OBJECTS, 021001 nanoscience & nanotechnology, welding process, Specularity, Weld pool, Artificial intelligence, 0210 nano-technology, business
Abstract

International audience; This paper presents a passive polarimetry method using a division of aperture optical device in order to segment the weld pool surface of the welding. Due to the high specularity of the surface of the weld pool, we use polarimetric data in order to facilitate it's segmentation in the liquid state. In this paper, we propose to combine two segmentation methods: Watershed Transform and the Level Set to ensure a better result. Our ultimate goal of this study is to provide real-time quality control of the surface of molten metal during the welding process while utilizing the additional information provided by the polarimetric data.Polarimetric imaging; segmentation; specular surface; welding process; weld pool surfaceTRANSPARENT OBJECTS; SURFACE ORIENTATIONS; POLARIZATION STATE

Published
2019
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25. Cracks detection on glass object based on active thermography approach

Author

Thomas Herrmann, Cyrille Migniot, and Olivier Aubreton

Subjects
Materials science, business.industry, Machine vision, Hot spot (veterinary medicine), Edge (geometry), Laser, law.invention, Optics, law, Nondestructive testing, Thermography, Thermal, Specular reflection, business
Abstract

Thermal imaging is nowadays widely used in many industrial areas for non destructive analysis. This paper focuses on the detection by active thermography of cracks in a transparent and specular piece of glass. A continuous laser scans the target by creating a hot spot that is acquired by a thermal camera. A thermal map is computed by averaging of thermal measurements for all the positions of the hot spot on the target. Then edge filters are applied to highlight the cracks. Experimental results demonstrate the validity of the material damage estimation in a short processing time.

Published
2019
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27. Vision-based control of wire extension in GMA welding

Author

Intuon Lertrusdachakul, Olivier Aubreton, and Alexandre Mathieu

Subjects
Engineering drawing, Computer science, business.industry, Mechanical Engineering, ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION, Image processing, Welding, Thresholding, Industrial and Manufacturing Engineering, Computer Science Applications, law.invention, Robot welding, Control and Systems Engineering, Region growing, law, Computer vision, Arc welding, Artificial intelligence, business, Software, Reliability (statistics)
Abstract

This paper presents a vision-based approach for wire extension measurement and melt pool detection. The image analysis applies on the image sequences, which are extracted from a recorded welding video. The algorithms have been developed using the image processing combining profile analysis, intensity thresholding, region growing, filtering, and morphology. The goal is to use these computed parameters to help in welding control and defect examination. The software runs automatically and has been verified on various videos from different welding experiments. The resulting data are also represented and compared with chronological knowledge to improve the reliability of the system.

Published
2015
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28. Use of polarimetric imaging of emissive objects

Author

A Zanzouri Kechiche, Christophe Stolz, Olivier Aubreton, Alexandre Mathieu, Laboratoire Electronique, Informatique et Image ( Le2i ), Université de Bourgogne ( UB ) -AgroSup Dijon - Institut National Supérieur des Sciences Agronomiques, de l'Alimentation et de l'Environnement-Centre National de la Recherche Scientifique ( CNRS ), Laboratoire Interdisciplinaire Carnot de Bourgogne ( LICB ), Université de Bourgogne ( UB ) -Centre National de la Recherche Scientifique ( CNRS ), SPIE, Japan Soc Precis Engn, Tech Comm Ind Applicat Image Proc, Nagahara Hajime, Umeda Kazunori, Yamashita Atsushi, Laboratoire Electronique, Informatique et Image [UMR6306] (Le2i), Université de Bourgogne (UB)-Centre National de la Recherche Scientifique (CNRS)-École Nationale Supérieure d'Arts et Métiers (ENSAM), Arts et Métiers Sciences et Technologies, HESAM Université (HESAM)-HESAM Université (HESAM)-Arts et Métiers Sciences et Technologies, HESAM Université (HESAM)-HESAM Université (HESAM)-AgroSup Dijon - Institut National Supérieur des Sciences Agronomiques, de l'Alimentation et de l'Environnement, Laboratoire Interdisciplinaire Carnot de Bourgogne (LICB), Université de Bourgogne (UB)-Centre National de la Recherche Scientifique (CNRS), Université de Bourgogne (UB)-École Nationale Supérieure d'Arts et Métiers (ENSAM), and HESAM Université (HESAM)-HESAM Université (HESAM)-AgroSup Dijon - Institut National Supérieur des Sciences Agronomiques, de l'Alimentation et de l'Environnement-Centre National de la Recherche Scientifique (CNRS)

Subjects
Materials science, transparent object, Polarimetry, 02 engineering and technology, Radiation, 01 natural sciences, [INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI], 010309 optics, shape measurement, symbols.namesake, Optics, Far infrared, Thermal infrared spectroscopy, Polarization, 0103 physical sciences, 0202 electrical engineering, electronic engineering, information engineering, Emissivity, Stokes parameters, weld pool, [ INFO.INFO-AI ] Computer Science [cs]/Artificial Intelligence [cs.AI], [PHYS.PHYS]Physics [physics]/Physics [physics], business.industry, Near-infrared spectroscopy, Polarization (waves), [ PHYS.PHYS ] Physics [physics]/Physics [physics], Surface Orientations, symbols, [SPI.OPTI]Engineering Sciences [physics]/Optics / Photonic, Optoelectronics, 020201 artificial intelligence & image processing, [ SPI.OPTI ] Engineering Sciences [physics]/Optics / Photonic, business, Transparent Objects
Abstract

International audience; This paper describes the use of polarization information to estimate the shape of emissive objects in the field of non-conventional imaging techniques for 3D digitization. Using "Shape from Polarization" method which is applied in the far infrared for transparent object and in the near infrared for the molten metal. Our study shows that by studying the state of polarization of the emitted radiation from the object, normal of the surface can be determined and subsequently the 3D shape.

Published
2017
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29. A combined three-dimensional digitisation and subsurface defect detection data using active infrared thermography

Author

Christophe Stolz, Olivier Aubreton, Mohamed Belkacemi, Guillaume Lemaitre, Alexandre Mathieu, Laboratoire Electronique, Informatique et Image ( Le2i ), Université de Bourgogne ( UB ) -AgroSup Dijon - Institut National Supérieur des Sciences Agronomiques, de l'Alimentation et de l'Environnement-Centre National de la Recherche Scientifique ( CNRS ), Laboratoire Interdisciplinaire Carnot de Bourgogne ( LICB ), Université de Bourgogne ( UB ) -Centre National de la Recherche Scientifique ( CNRS ), Laboratoire Electronique, Informatique et Image [UMR6306] (Le2i), Université de Bourgogne (UB)-École Nationale Supérieure d'Arts et Métiers (ENSAM), Arts et Métiers Sciences et Technologies, HESAM Université (HESAM)-HESAM Université (HESAM)-Arts et Métiers Sciences et Technologies, HESAM Université (HESAM)-HESAM Université (HESAM)-AgroSup Dijon - Institut National Supérieur des Sciences Agronomiques, de l'Alimentation et de l'Environnement-Centre National de la Recherche Scientifique (CNRS), Laboratoire Interdisciplinaire Carnot de Bourgogne (LICB), Université de Bourgogne (UB)-Centre National de la Recherche Scientifique (CNRS), Lemaitre, Guillaume, Université de Bourgogne (UB)-Centre National de la Recherche Scientifique (CNRS)-École Nationale Supérieure d'Arts et Métiers (ENSAM), and HESAM Université (HESAM)-HESAM Université (HESAM)-AgroSup Dijon - Institut National Supérieur des Sciences Agronomiques, de l'Alimentation et de l'Environnement

Subjects
010302 applied physics, Active infrared, business.industry, Computer science, [ SPI.SIGNAL ] Engineering Sciences [physics]/Signal and Image processing, 01 natural sciences, Error analysis, Nondestructive testing, 0103 physical sciences, Thermography, Data registration, business, [SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing, 010301 acoustics, Digitization, [SPI.SIGNAL] Engineering Sciences [physics]/Signal and Image processing, Remote sensing
Abstract

International audience; In recent years, NonDestructive Testing (NDT) systems have been upgraded with three-dimensional information. Indeed, combine the three-dimensional and thermal information allows a more meaningful analysis. In the literature, the data for NDT and three-dimensional (3D) reconstruction analysis are commonly acquired from independent systems. However, the use of two such systems leads to error analysis during the data registration. In an attempt to overcome such problems, we propose a single system based on active thermography approach using heat point-source stimulation to get the 3D digitization as well as subsurface defect detection. The experiments are conducted on steel and aluminum objects, and a combined 3D / thermal-information is presented.

Published
2016

30. Short review of polarimetric imaging based method for 3D measurements

Author

Olivier Aubreton, Christophe Stolz, Abir Zanzouri Kechiche, Laboratoire Electronique, Informatique et Image [UMR6306] (Le2i), Université de Bourgogne (UB)-École Nationale Supérieure d'Arts et Métiers (ENSAM), Arts et Métiers Sciences et Technologies, HESAM Université (HESAM)-HESAM Université (HESAM)-Arts et Métiers Sciences et Technologies, HESAM Université (HESAM)-HESAM Université (HESAM)-AgroSup Dijon - Institut National Supérieur des Sciences Agronomiques, de l'Alimentation et de l'Environnement-Centre National de la Recherche Scientifique (CNRS), Sponsor(s):SPIE, Brussels Photon Team, Res Fdn Flanders, Visit Brussels, Schelkens, P., Ebrahimi, T., Cristobal, G., Truchetet, F., Saarikko, P., Laboratoire Electronique, Informatique et Image ( Le2i ), Université de Bourgogne ( UB ) -AgroSup Dijon - Institut National Supérieur des Sciences Agronomiques, de l'Alimentation et de l'Environnement-Centre National de la Recherche Scientifique ( CNRS ), Université de Bourgogne (UB)-Centre National de la Recherche Scientifique (CNRS)-École Nationale Supérieure d'Arts et Métiers (ENSAM), and HESAM Université (HESAM)-HESAM Université (HESAM)-AgroSup Dijon - Institut National Supérieur des Sciences Agronomiques, de l'Alimentation et de l'Environnement

Subjects
polarization imaging, Computer science, ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION, Polarimetry, 02 engineering and technology, 01 natural sciences, 3D inspection, 010309 optics, 0103 physical sciences, 0202 electrical engineering, electronic engineering, information engineering, Computer vision, ComputingMethodologies_COMPUTERGRAPHICS, [PHYS.PHYS.PHYS-OPTICS]Physics [physics]/Physics [physics]/Optics [physics.optics], [ PHYS.PHYS.PHYS-OPTICS ] Physics [physics]/Physics [physics]/Optics [physics.optics], business.industry, Polarized-Light, Shape, Triangulation (social science), Polarization (waves), Surfaces, 020201 artificial intelligence & image processing, Artificial intelligence, Reconstruction, business, Transparent Objects, shape from polarization
Abstract

International audience; In the domain of 3D measurement for inspection purposes, standard systems based on triangulation approaches, can be limited by the nature of the observed surface. When the surface is not lambertian, i.e. highly reflective or transparent, other strategies to ease the measurement need to be developed. The idea of using the polarization property of the light is one of them. This was explored to be a complementary modality, in triangulation or shape from distortion methods, or used in a standalone system through the concept of "shape from polarization". In this paper we propose a short state of the art of the usage of polarimetric imaging for the study of surface and the measurement of 3D data. We focus on recent development applied to the industrial domain, or the health domain.

Published
2016
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31. Wood fiber orientation assessment based on punctual laser beam excitation: A preliminary study

Author

Robert Collet, Guillaume Pot, Christophe Stolz, Olivier Aubreton, Joan Massich, Guillaume Lemaitre, Fabrice Meriaudeau, Vincent Daval, Mohamed Belkacemi, Laboratoire Electronique, Informatique et Image ( Le2i ), Université de Bourgogne ( UB ) -AgroSup Dijon - Institut National Supérieur des Sciences Agronomiques, de l'Alimentation et de l'Environnement-Centre National de la Recherche Scientifique ( CNRS ), Laboratoire Bourguignon des Matériaux et Procédés ( LaBoMaP ), École Nationale Supérieure d'Arts et Métiers ( ENSAM ), Laboratoire Electronique, Informatique et Image [UMR6306] (Le2i), Université de Bourgogne (UB)-École Nationale Supérieure d'Arts et Métiers (ENSAM), Arts et Métiers Sciences et Technologies, HESAM Université (HESAM)-HESAM Université (HESAM)-Arts et Métiers Sciences et Technologies, HESAM Université (HESAM)-HESAM Université (HESAM)-AgroSup Dijon - Institut National Supérieur des Sciences Agronomiques, de l'Alimentation et de l'Environnement-Centre National de la Recherche Scientifique (CNRS), Laboratoire Bourguignon des Matériaux et Procédés (LABOMAP), HESAM Université (HESAM)-HESAM Université (HESAM), Université de Bourgogne (UB)-Centre National de la Recherche Scientifique (CNRS)-École Nationale Supérieure d'Arts et Métiers (ENSAM), HESAM Université (HESAM)-HESAM Université (HESAM)-AgroSup Dijon - Institut National Supérieur des Sciences Agronomiques, de l'Alimentation et de l'Environnement, and Lemaitre, Guillaume

Subjects
Materials science, Infrared, Orientation (computer vision), Scattering, business.industry, [ SPI.SIGNAL ] Engineering Sciences [physics]/Signal and Image processing, 02 engineering and technology, Laser, Ellipse, 01 natural sciences, law.invention, 010309 optics, Optics, law, Ellipsometry, 0103 physical sciences, Thermal, 0202 electrical engineering, electronic engineering, information engineering, 020201 artificial intelligence & image processing, Fiber, business, [SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing, [SPI.SIGNAL] Engineering Sciences [physics]/Signal and Image processing
Abstract

International audience; The EU imposes standards for the use of wood in structural applications. Local singularities such as knots affect the wood mechanical properties. They can be revealed by looking at the wood fiber orientation. For this reason, many methods were proposed to estimate the orientation of wood fiber using optical means, X-rays, or scattering measurement techniques. In this paper, an approach to assess the wood fiber orientation based on thermal ellipsometry is developed. The wood part is punctually heated with a Nd-YAG Laser and the thermal response is acquired by an infrared camera. The thermal response is elliptical due to the propagation of the heat through and along the wood fibers. An experiment is presented to show the capacity of such techniques to assess fiber orientation on wood specimen. In addition, an appropriate algorithm is given to extract the orientation of the ellipse.

Published
2016
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32. Non Destructive Testing based on a Scanning-From-Heating approach: Application to non-through defect detection and fiber orientation assessment

Author

Olivier Aubreton, Christophe Stolz, Joan Massich, Guillaume Lemaitre, Alexandre Mathieu, Mohamed Belkacemi, Laboratoire Electronique, Informatique et Image ( Le2i ), Université de Bourgogne ( UB ) -AgroSup Dijon - Institut National Supérieur des Sciences Agronomiques, de l'Alimentation et de l'Environnement-Centre National de la Recherche Scientifique ( CNRS ), Laboratoire Interdisciplinaire Carnot de Bourgogne ( LICB ), Centre National de la Recherche Scientifique ( CNRS ) -Université de Bourgogne ( UB ), Visio per computador I robotica ( VICOROB ), Universitat de Girona ( UdG ), Laboratoire Electronique, Informatique et Image [UMR6306] (Le2i), Université de Bourgogne (UB)-École Nationale Supérieure d'Arts et Métiers (ENSAM), Arts et Métiers Sciences et Technologies, HESAM Université (HESAM)-HESAM Université (HESAM)-Arts et Métiers Sciences et Technologies, HESAM Université (HESAM)-HESAM Université (HESAM)-AgroSup Dijon - Institut National Supérieur des Sciences Agronomiques, de l'Alimentation et de l'Environnement-Centre National de la Recherche Scientifique (CNRS), Laboratoire Interdisciplinaire Carnot de Bourgogne (LICB), Université de Bourgogne (UB)-Centre National de la Recherche Scientifique (CNRS), Research institute of Computer Vision and Robotics [Girona] (VICOROB), Universitat de Girona (UdG), Université de Bourgogne (UB)-Centre National de la Recherche Scientifique (CNRS)-École Nationale Supérieure d'Arts et Métiers (ENSAM), and HESAM Université (HESAM)-HESAM Université (HESAM)-AgroSup Dijon - Institut National Supérieur des Sciences Agronomiques, de l'Alimentation et de l'Environnement

Subjects
Simulations, Computer science, Mechanical engineering, Image processing, Nondestructive evaluation, 02 engineering and technology, [ SPI.SIGNAL ] Engineering Sciences [physics]/Signal and Image processing, 01 natural sciences, Non-through defect detection, Nondestructive testing, 0103 physical sciences, Scanning, 3D scanning, Electrical and Electronic Engineering, ComputingMilieux_MISCELLANEOUS, 010302 applied physics, Metallic Object, Orientation (computer vision), business.industry, Lasers, Fiber orientation, Image segmentation, 021001 nanoscience & nanotechnology, Sensor fusion, Atomic and Molecular Physics, and Optics, Computer Science Applications, Active Thermography, Hybrid system, Non Destructive Testing, Thermography, [SPI.OPTI]Engineering Sciences [physics]/Optics / Photonic, [ SPI.OPTI ] Engineering Sciences [physics]/Optics / Photonic, 0210 nano-technology, business, [SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing
Abstract

International audience; Nowadays, industries ensure the quality of their manufactured products through computer vision techniques and non-conventional imaging. 3D scanners and Non-Destructive Testing (NDT) systems are commonly used independently for such applications. Furthermore, these approaches combined together constitute a hybrid systems providing a 3D reconstruction and NDT analysis. These systems, however, suffer from drawback such as errors during the data fusion and higher cost for manufacturers. In an attempt to solve those problems, a single active thermography system based on Scanning-From-Heating (SFH) is proposed in this paper. Besides 3D digitization of the object, our contributions are twofold: (i) the non-through defect detection for homogeneous metallic object and (ii) fiber orientation assessment for long fiber composite material. The experiments on steel and aluminum plates show that our method achieves to detect non-through defects. Additionally, the estimation of the fiber orientation is evaluated on carbon-fiber composite material.

Published
2015
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33. Real time polarization imaging of weld pool surface

Author

Olivier Aubreton, Alexandre Mathieu, Christophe Stolz, N. Coniglio, Laboratoire Electronique, Informatique et Image ( Le2i ), Université de Bourgogne ( UB ) -AgroSup Dijon - Institut National Supérieur des Sciences Agronomiques, de l'Alimentation et de l'Environnement-Centre National de la Recherche Scientifique ( CNRS ), Laboratoire Interdisciplinaire Carnot de Bourgogne ( LICB ), Université de Bourgogne ( UB ) -Centre National de la Recherche Scientifique ( CNRS ), SPIE, Laboratoire Electronique, Informatique et Image [UMR6306] (Le2i), Université de Bourgogne (UB)-Centre National de la Recherche Scientifique (CNRS)-École Nationale Supérieure d'Arts et Métiers (ENSAM), Arts et Métiers Sciences et Technologies, HESAM Université (HESAM)-HESAM Université (HESAM)-Arts et Métiers Sciences et Technologies, HESAM Université (HESAM)-HESAM Université (HESAM)-AgroSup Dijon - Institut National Supérieur des Sciences Agronomiques, de l'Alimentation et de l'Environnement, Laboratoire Interdisciplinaire Carnot de Bourgogne (LICB), Université de Bourgogne (UB)-Centre National de la Recherche Scientifique (CNRS), and Stolz, Christophe

Subjects
Materials science, Matériaux [Sciences de l'ingénieur], [SPI.OPTI] Engineering Sciences [physics]/Optics / Photonic, Acoustics, Polarimetry, Real time imaging, 02 engineering and technology, Welding, 01 natural sciences, law.invention, 010309 optics, Optics, Three dimensional sensing, law, 0103 physical sciences, weld pool, Traitement des images [Informatique], business.industry, Polarization imaging, Polarimetric imaging, Monitoring system, 021001 nanoscience & nanotechnology, Polarization (waves), Stokes polarimetry, Weld pool, [SPI.OPTI]Engineering Sciences [physics]/Optics / Photonic, Arc welding, [ SPI.OPTI ] Engineering Sciences [physics]/Optics / Photonic, 0210 nano-technology, business, real time imaging, shape from polarization, thermal field
Abstract

The search for an efficient on-line monitoring system focused on the real-time analysis of arc welding quality is an active area of research. The topography and the superficial temperature field of the weld pool can provide important information which can be used to regulate the welding parameters for depositing consistent welds. One difficulty relies on accessing this information despite the bright dazzling welding arc. In the present work, Stokes polarimetry and associated shape-from-polarization methods are applied for the analysis of the weld pool through its 810 nm-wavelength infrared emissions. The obtained information can provide a better understanding of the process, such as the usage of the topography to seek Marangoni flows direction, or to have a denser 3D map to improve numerical simulation models.

Published
2015

34. A coarse to fine 3D acquisition system

Author

Olivier Aubreton, Frederic Truchetet, Vincent Daval, Laboratoire Electronique, Informatique et Image [UMR6306] (Le2i), Université de Bourgogne (UB)-Centre National de la Recherche Scientifique (CNRS)-École Nationale Supérieure d'Arts et Métiers (ENSAM), Arts et Métiers Sciences et Technologies, HESAM Université (HESAM)-HESAM Université (HESAM)-Arts et Métiers Sciences et Technologies, HESAM Université (HESAM)-HESAM Université (HESAM)-AgroSup Dijon - Institut National Supérieur des Sciences Agronomiques, de l'Alimentation et de l'Environnement, SPIE, Laboratoire Electronique, Informatique et Image ( Le2i ), Université de Bourgogne ( UB ) -AgroSup Dijon - Institut National Supérieur des Sciences Agronomiques, de l'Alimentation et de l'Environnement-Centre National de la Recherche Scientifique ( CNRS ), and Daval, Vincent

Subjects
2d images, 0209 industrial biotechnology, Scanner, business.industry, Computer science, Process (computing), 3D Compression, [INFO.INFO-CV]Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV], 020207 software engineering, Class (philosophy), 02 engineering and technology, 3D Simplification, [ INFO.INFO-CV ] Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV], Coarse to fine, Primitives extraction, [INFO.INFO-CV] Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV], 020901 industrial engineering & automation, Homogeneous, 0202 electrical engineering, electronic engineering, information engineering, Computer vision, Artificial intelligence, business, 3D Reconstruction, Algorithm, Scope (computer science)
Abstract

International audience; The 3D chain (acquisition-processing-compression) is , most of the time , sequenced into several steps. Such approaches result into an one-dense acquisition of 3D points. In large scope of applications , the first processing step consists in simplifying the data. In this paper , we propose a coarse to fine acquisition system which permits to obtain simplified data directly from the acquisition. By calculating some complementary information from 2D images , such as 3D normals , multiple homogeneous regions will be segmented and affected to a given primitive class. Contrary to other studies , the whole process is not based on a mesh. The obtained model is simplified directly from the 2D data acquired by a 3D scanner .

Published
2015

35. 3D and NDT using scanning from heating

Author

Christophe Stolz, Mohamed Belkacemi, and Olivier Aubreton

Subjects
Materials science, business.industry, Infrared, Inspection method, 3d scanning, Laser, law.invention, Optics, law, Nondestructive testing, Thermal, Point (geometry), business, Excitation
Abstract

A nondestructive inspection method using an infrared detection system is presented in this paper; the system uses a YAG laser as excitation point. The material thermal response to this excitation is processed for the detection of volume defects, this technique integrated into a 3D scanning system allows us to get a 3D scan of the object as well as defects detection.

Published
2015
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36. Coarse to fine : toward an intelligent 3D acquisition system

Author

Olivier Aubreton, Frederic Truchetet, Vincent Daval, Laboratoire Electronique, Informatique et Image [UMR6306] (Le2i), Université de Bourgogne (UB)-Centre National de la Recherche Scientifique (CNRS)-École Nationale Supérieure d'Arts et Métiers (ENSAM), Arts et Métiers Sciences et Technologies, HESAM Université (HESAM)-HESAM Université (HESAM)-Arts et Métiers Sciences et Technologies, HESAM Université (HESAM)-HESAM Université (HESAM)-AgroSup Dijon - Institut National Supérieur des Sciences Agronomiques, de l'Alimentation et de l'Environnement, SPIE, Daval, Vincent, Laboratoire Electronique, Informatique et Image ( Le2i ), and Université de Bourgogne ( UB ) -AgroSup Dijon - Institut National Supérieur des Sciences Agronomiques, de l'Alimentation et de l'Environnement-Centre National de la Recherche Scientifique ( CNRS )

Subjects
Computer science, business.industry, [INFO.INFO-CV]Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV], Object (computer science), 3D modeling, [ INFO.INFO-CV ] Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV], Set (abstract data type), 3D primitive extraction, [INFO.INFO-CV] Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV], Chain (algebraic topology), Object model, normal estimate, Computer vision, Stage (hydrology), Artificial intelligence, business, 3D acquisition, 3D compression
Abstract

International audience; The 3D acquisition-compression-processing chain is , most of the time , sequenced into independent stages. As resulting , a large amount of 3D points are acquired whatever the geometry of the object and the processing to be done in further steps. It appears , particularly in mechanical part 3D modeling and in CAD , that the acquisition of such an amount of data is not always mandatory. We propose a method aiming at minimizing the number of 3D points to be acquired with respect to the local geometry of the part and therefore to compress the cloud of points during the acquisition stage. The method we propose is based on a new coarse to fine approach in which from a coarse set of 2D points associated to the local normals the 3D object model is segmented into a combination of primitives. The obtained model is enriched where it is needed with new points and a new primitive extraction stage is performed in the refined regions. This is done until a given precision of the reconstructed object is attained. It is noticeable that contrary to other studies we do not work on a meshed model but directly on the data provided by the scanning device .

Published
2015

37. 3D measurement of both front and back surfaces of transparent objects by polarization imaging

Author

Olivier Laligant, Christophe Stolz, Olivier Aubreton, Florence Drouet, Laboratoire Electronique, Informatique et Image ( Le2i ), Université de Bourgogne ( UB ) -AgroSup Dijon - Institut National Supérieur des Sciences Agronomiques, de l'Alimentation et de l'Environnement-Centre National de la Recherche Scientifique ( CNRS ), SPIE, Laboratoire Electronique, Informatique et Image [UMR6306] (Le2i), Université de Bourgogne (UB)-École Nationale Supérieure d'Arts et Métiers (ENSAM), Arts et Métiers Sciences et Technologies, HESAM Université (HESAM)-HESAM Université (HESAM)-Arts et Métiers Sciences et Technologies, and HESAM Université (HESAM)-HESAM Université (HESAM)-AgroSup Dijon - Institut National Supérieur des Sciences Agronomiques, de l'Alimentation et de l'Environnement-Centre National de la Recherche Scientifique (CNRS)

Subjects
Physics, Point source, business.industry, 3D reconstruction, Polarimetry, Polarization (waves), Ray, Optics, [SPI.OPTI]Engineering Sciences [physics]/Optics / Photonic, Degree of polarization, Mueller calculus, Specular reflection, [ SPI.OPTI ] Engineering Sciences [physics]/Optics / Photonic, business
Abstract

International audience; We present a method to recover the 3D shape of both front and back surfaces of smooth transparent objects, such as glass windows or containers. We use a combination of two methods known for the 3D reconstruction of specular surfaces: shape from distortion and shape from polarization. As each transparent surface reflects and transmits incident light, one can see two shifted images by observing the reflection of a pattern on two surfaces nearby. Looking at the reflection of one known point source on the front surface with a calibrated camera, the depth and the orientation of this surface can be determined up to a one dimensional space of solution. This ambiguity is lifted by using the degree of polarization of the reflection, which depends on the incidence angle. Supposing that the front surface is locally at, we show that there is the same ambiguity between position and orientation for the observed reflection coming from the back surface of the object. This ambiguity can again be lifted by using ray-tracing and Mueller calculus. Thus our method enables to measure both the position and the orientation of the two surfaces of a transparent object, with only one polarimetric image. We present an experiment on real objects to evaluate this method.

Published
2014
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38. Weld pool surface temperature measurement from polarization state of thermal emission

Author

Christophe Stolz, Olivier Aubreton, N. Coniglio, Alexandre Mathieu, Laboratoire Interdisciplinaire Carnot de Bourgogne (LICB), Université de Bourgogne (UB)-Centre National de la Recherche Scientifique (CNRS), Laboratoire Electronique, Informatique et Image [UMR6306] (Le2i), Université de Bourgogne (UB)-Centre National de la Recherche Scientifique (CNRS)-École Nationale Supérieure d'Arts et Métiers (ENSAM), Arts et Métiers Sciences et Technologies, HESAM Université (HESAM)-HESAM Université (HESAM)-Arts et Métiers Sciences et Technologies, HESAM Université (HESAM)-HESAM Université (HESAM)-AgroSup Dijon - Institut National Supérieur des Sciences Agronomiques, de l'Alimentation et de l'Environnement, Stolz, Christophe, Laboratoire Interdisciplinaire Carnot de Bourgogne ( LICB ), Centre National de la Recherche Scientifique ( CNRS ) -Université de Bourgogne ( UB ), Laboratoire Electronique, Informatique et Image ( Le2i ), Université de Bourgogne ( UB ) -Centre National de la Recherche Scientifique ( CNRS ) -AgroSup Dijon - Institut National Supérieur des Sciences Agronomiques, de l'Alimentation et de l'Environnement, Mechanics surfaces and materials processing ( MSMP ), Laboratoire Interdisciplinaire Carnot de Bourgogne [Dijon] ( LICB ), Université de Technologie de Belfort-Montbeliard ( UTBM ) -Université de Bourgogne ( UB ) -Centre National de la Recherche Scientifique ( CNRS ), Laboratoire d'Electronique, d'Informatique et d'Image UMR CNRS 6306 ( Le2i ), Université de Technologie de Belfort-Montbeliard ( UTBM ) -Centre National de la Recherche Scientifique ( CNRS ) -École Nationale Supérieure d'Arts et Métiers ( ENSAM ) -Université de Bourgogne ( UB ) -AgroSup Dijon - Institut National Supérieur des Sciences Agronomiques, de l'Alimentation et de l'Environnement, Conseil Régional de Bourgogne, Mechanics surfaces and materials processing (MSMP), HESAM Université (HESAM)-HESAM Université (HESAM), Laboratoire Interdisciplinaire Carnot de Bourgogne [Dijon] (LICB), Université de Bourgogne (UB)-Université de Technologie de Belfort-Montbeliard (UTBM)-Centre National de la Recherche Scientifique (CNRS), Laboratoire d'Electronique, d'Informatique et d'Image [EA 7508] (Le2i), Université de Technologie de Belfort-Montbeliard (UTBM)-Université de Bourgogne (UB)-École Nationale Supérieure d'Arts et Métiers (ENSAM), HESAM Université (HESAM)-HESAM Université (HESAM)-AgroSup Dijon - Institut National Supérieur des Sciences Agronomiques, de l'Alimentation et de l'Environnement-Centre National de la Recherche Scientifique (CNRS), Université de Bourgogne ( UB ) -Centre National de la Recherche Scientifique ( CNRS ), Université de Bourgogne ( UB ) -AgroSup Dijon - Institut National Supérieur des Sciences Agronomiques, de l'Alimentation et de l'Environnement-Centre National de la Recherche Scientifique ( CNRS ), and Centre National de la Recherche Scientifique (CNRS)-Université de Bourgogne (UB)

Subjects
Liquid metal, Materials science, Matériaux [Sciences de l'ingénieur], [ INFO.INFO-TS ] Computer Science [cs]/Signal and Image Processing, [SPI.OPTI] Engineering Sciences [physics]/Optics / Photonic, Stokes imaging, [ SPI.MAT ] Engineering Sciences [physics]/Materials, 02 engineering and technology, 01 natural sciences, Temperature measurement, Traitement du signal et de l'image [Informatique], [SPI.MAT]Engineering Sciences [physics]/Materials, 010309 optics, Optics, [INFO.INFO-TS]Computer Science [cs]/Signal and Image Processing, 0103 physical sciences, Thermal, [ INFO.INFO-TI ] Computer Science [cs]/Image Processing, weld pool temperature, [SPI.GPROC]Engineering Sciences [physics]/Chemical and Process Engineering, Electrical and Electronic Engineering, Instrumentation, ComputingMilieux_MISCELLANEOUS, polarimetry, gas tungsten arc, Traitement des images [Informatique], business.industry, Gas tungsten arc welding, [ SPI.GPROC ] Engineering Sciences [physics]/Chemical and Process Engineering, 021001 nanoscience & nanotechnology, Wavelength, [INFO.INFO-TI]Computer Science [cs]/Image Processing [eess.IV], Radiance, Weld pool, [SPI.OPTI]Engineering Sciences [physics]/Optics / Photonic, [ SPI.OPTI ] Engineering Sciences [physics]/Optics / Photonic, 0210 nano-technology, business, Refractive index
Abstract

This paper presents a passive polarimetry method using a division of aperture optical device in order to measure the temperature distribution at the weld pool surface. Thermal emission from a hot liquid metal was investigated at a near-infrared wavelength corresponding to a blind spectral window of a helium plasma generated during gas tungsten arc welding process. The refractive index of liquid metal and the surface radiance are deduced from the polarisation state of thermal emissions. Based upon the knowledge of both characteristics, the temperature distribution can be calculated. Conseil Régional de Bourgogne

Published
2014
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39. 3D reconstruction of external and internal surfaces of transparent objects from polarization state of highlights

Author

Florence Drouet, Christophe Stolz, Olivier Aubreton, Olivier Laligant, Laboratoire Electronique, Informatique et Image ( Le2i ), Université de Bourgogne ( UB ) -AgroSup Dijon - Institut National Supérieur des Sciences Agronomiques, de l'Alimentation et de l'Environnement-Centre National de la Recherche Scientifique ( CNRS ), Laboratoire Electronique, Informatique et Image [UMR6306] (Le2i), Université de Bourgogne (UB)-École Nationale Supérieure d'Arts et Métiers (ENSAM), Arts et Métiers Sciences et Technologies, HESAM Université (HESAM)-HESAM Université (HESAM)-Arts et Métiers Sciences et Technologies, and HESAM Université (HESAM)-HESAM Université (HESAM)-AgroSup Dijon - Institut National Supérieur des Sciences Agronomiques, de l'Alimentation et de l'Environnement-Centre National de la Recherche Scientifique (CNRS)

Subjects
Physics, Total internal reflection, Light transmission, business.industry, 3D reconstruction, Specular surface, Polarimetry, Polarization (waves), Atomic and Molecular Physics, and Optics, Optics, Specular component, [SPI.OPTI]Engineering Sciences [physics]/Optics / Photonic, [ SPI.OPTI ] Engineering Sciences [physics]/Optics / Photonic, business, Refractive index, three dimensional sensing polarimetric imaging, ComputingMilieux_MISCELLANEOUS
Abstract

A vision-based method is proposed to measure the 3D shape of external and internal surfaces (not accessible) of smooth transparent objects. Looking at the reflections of point sources on a specular surface with a polarimetric camera, we combine the measurements of two techniques: shape from distortion and shape from polarization. It permits us to recover the position and orientation of the specular surface for each detected point. The internal surface of transparent objects exhibiting as well a specular component, the same technique is used on the highlights coming from the back surface, taking into account the refraction by using polarimetric ray tracing.

Published
2014
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40. Plasma effect on weld pool surface reconstruction by shape-from-polarization analysis

Author

Alexandre Mathieu, Olivier Aubreton, Christophe Stolz, N. Coniglio, Laboratoire Interdisciplinaire Carnot de Bourgogne ( LICB ), Université de Bourgogne ( UB ) -Centre National de la Recherche Scientifique ( CNRS ), Laboratoire Electronique, Informatique et Image ( Le2i ), Université de Bourgogne ( UB ) -AgroSup Dijon - Institut National Supérieur des Sciences Agronomiques, de l'Alimentation et de l'Environnement-Centre National de la Recherche Scientifique ( CNRS ), Laboratoire Interdisciplinaire Carnot de Bourgogne (LICB), Université de Bourgogne (UB)-Centre National de la Recherche Scientifique (CNRS), Laboratoire Electronique, Informatique et Image [UMR6306] (Le2i), Université de Bourgogne (UB)-Centre National de la Recherche Scientifique (CNRS)-École Nationale Supérieure d'Arts et Métiers (ENSAM), Arts et Métiers Sciences et Technologies, HESAM Université (HESAM)-HESAM Université (HESAM)-Arts et Métiers Sciences et Technologies, and HESAM Université (HESAM)-HESAM Université (HESAM)-AgroSup Dijon - Institut National Supérieur des Sciences Agronomiques, de l'Alimentation et de l'Environnement

Subjects
Materials science, Physics and Astronomy (miscellaneous), business.industry, Astrophysics::High Energy Astrophysical Phenomena, Plasma, surface reconstruction plasma materials processing thermal radiation, law.invention, Plasma arc welding, Wavelength, Optics, Thermal radiation, law, [SPI.OPTI]Engineering Sciences [physics]/Optics / Photonic, Weld pool, Plasma effect, Arc welding, [ SPI.OPTI ] Engineering Sciences [physics]/Optics / Photonic, business, Surface reconstruction, ComputingMilieux_MISCELLANEOUS
Abstract

The polarimetric state of the thermal radiations emitted by the weld metal contains geometric information about the emitting surface. Even though the analysed thermal radiation has a wavelength corresponding to a blind spectral window of the arc plasma, the physical presence of the arc plasma itself interferes with the rays radiated by the weld pool surface before attaining the polarimeter, thus modifying the geometric information transported by the ray. In the present work, the effect of the arc plasma-surrounding zone on the polarimetric state and propagation direction of the radiated ray is analyzed. The interaction with the arc plasma zone induces a drop in ray intensity and a refraction of ray optical path.

Published
2014
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42. Multimodal fusion system for NDT and Metrology

Author

Olivier Aubreton, Moulay A. Akhloufi, and Benjamin Verney

Subjects
Visual inspection, Multimodal fusion, Modalities, Modality (human–computer interaction), business.industry, Computer science, Nondestructive testing, Point cloud, Computer vision, Artificial intelligence, Aerospace, business, Metrology
Abstract

D scanning and modeling is used in a wide range of applications like manufacturing, aerospace, security, biomedicine, etc. This kind of systems allows the scanning of a 3D point cloud that can be meshed and rendered in order to obtain a complete 3D model. However, 3D vision cannot detect subsurface defects. This later can be achieved using other imaging modalities, like thermal infrared imaging. This modality is very popular in non-destructive testing and visual inspection. In this work, we present a multi-modal fusion framework for combining these two modalities. We present an approach for a robotic inspection system integrating the proposed framework for 3D-NDT multimodal control and analysis.

Published
2014
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43. Fast simplification with sharp feature preserving for 3D point clouds

Author

Hedi Tabia, Olivier Aubreton, Hichem Barki, Halim Benhabiles, FOX MIIRE (LIFL), Laboratoire d'Informatique Fondamentale de Lille (LIFL), Université de Lille, Sciences et Technologies-Institut National de Recherche en Informatique et en Automatique (Inria)-Université de Lille, Sciences Humaines et Sociales-Centre National de la Recherche Scientifique (CNRS)-Université de Lille, Sciences et Technologies-Institut National de Recherche en Informatique et en Automatique (Inria)-Université de Lille, Sciences Humaines et Sociales-Centre National de la Recherche Scientifique (CNRS), Laboratoire Electronique, Informatique et Image [UMR6306] (Le2i), Université de Bourgogne (UB)-Centre National de la Recherche Scientifique (CNRS)-École Nationale Supérieure d'Arts et Métiers (ENSAM), Arts et Métiers Sciences et Technologies, HESAM Université (HESAM)-HESAM Université (HESAM)-Arts et Métiers Sciences et Technologies, HESAM Université (HESAM)-HESAM Université (HESAM)-AgroSup Dijon - Institut National Supérieur des Sciences Agronomiques, de l'Alimentation et de l'Environnement, Université de Bourgogne (UB)-École Nationale Supérieure d'Arts et Métiers (ENSAM), HESAM Université - Communauté d'universités et d'établissements Hautes écoles Sorbonne Arts et métiers université (HESAM)-HESAM Université - Communauté d'universités et d'établissements Hautes écoles Sorbonne Arts et métiers université (HESAM)-Arts et Métiers Sciences et Technologies, HESAM Université - Communauté d'universités et d'établissements Hautes écoles Sorbonne Arts et métiers université (HESAM)-HESAM Université - Communauté d'universités et d'établissements Hautes écoles Sorbonne Arts et métiers université (HESAM)-AgroSup Dijon - Institut National Supérieur des Sciences Agronomiques, de l'Alimentation et de l'Environnement-Centre National de la Recherche Scientifique (CNRS), FOX MIIRE ( LIFL ), Laboratoire d'Informatique Fondamentale de Lille ( LIFL ), Université de Lille, Sciences et Technologies-Institut National de Recherche en Informatique et en Automatique ( Inria ) -Université de Lille, Sciences Humaines et Sociales-Centre National de la Recherche Scientifique ( CNRS ) -Université de Lille, Sciences et Technologies-Institut National de Recherche en Informatique et en Automatique ( Inria ) -Université de Lille, Sciences Humaines et Sociales-Centre National de la Recherche Scientifique ( CNRS ), Laboratoire Electronique, Informatique et Image ( Le2i ), and Université de Bourgogne ( UB ) -AgroSup Dijon - Institut National Supérieur des Sciences Agronomiques, de l'Alimentation et de l'Environnement-Centre National de la Recherche Scientifique ( CNRS )

Subjects
Theoretical computer science, business.industry, Sharp point, 0211 other engineering and technologies, Point cloud, [INFO.INFO-CV]Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV], 020207 software engineering, Cloud computing, 02 engineering and technology, [ INFO.INFO-CV ] Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV], Simple (abstract algebra), Feature (computer vision), 0202 electrical engineering, electronic engineering, information engineering, Point (geometry), Enhanced Data Rates for GSM Evolution, Cluster analysis, business, Algorithm, ComputingMilieux_MISCELLANEOUS, 021101 geological & geomatics engineering, Mathematics
Abstract

This paper presents a fast point cloud simplification method that allows to preserve sharp edge points. The method is based on the combination of both clustering and coarse-to-fine simplification approaches. It consists to firstly create a coarse cloud using a clustering algorithm. Then each point of the resulting coarse cloud is assigned a weight that quantifies its importance, and allows to classify it into a sharp point or a simple point. Finally, both kinds of points are used to refine the coarse cloud and thus create a new simplified cloud characterized by high density of points in sharp regions and low density in flat regions. Experiments show that our algorithm is much faster than the last proposed simplification algorithm [1] which deals with sharp edge points preserving, and still produces similar results.

Published
2013
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44. Infrared system for 3D scanning of metallic surfaces

Author

Benjamin Verney, Frederic Truchetet, Olivier Aubreton, Alban Bajard, Laboratoire Electronique, Informatique et Image ( Le2i ), Université de Bourgogne ( UB ) -AgroSup Dijon - Institut National Supérieur des Sciences Agronomiques, de l'Alimentation et de l'Environnement-Centre National de la Recherche Scientifique ( CNRS ), Laboratoire Electronique, Informatique et Image [UMR6306] (Le2i), Université de Bourgogne (UB)-Centre National de la Recherche Scientifique (CNRS)-École Nationale Supérieure d'Arts et Métiers (ENSAM), Arts et Métiers Sciences et Technologies, HESAM Université (HESAM)-HESAM Université (HESAM)-Arts et Métiers Sciences et Technologies, HESAM Université (HESAM)-HESAM Université (HESAM)-AgroSup Dijon - Institut National Supérieur des Sciences Agronomiques, de l'Alimentation et de l'Environnement, Université de Bourgogne (UB)-École Nationale Supérieure d'Arts et Métiers (ENSAM), and HESAM Université (HESAM)-HESAM Université (HESAM)-AgroSup Dijon - Institut National Supérieur des Sciences Agronomiques, de l'Alimentation et de l'Environnement-Centre National de la Recherche Scientifique (CNRS)

Subjects
Surface (mathematics), Specular surfaces, Materials science, [ INFO.INFO-TS ] Computer Science [cs]/Signal and Image Processing, Infrared Scanning from heating, Infrared, Measure (physics), 3d scanning, 02 engineering and technology, [ SPI.SIGNAL ] Engineering Sciences [physics]/Signal and Image processing, [ INFO.INFO-CV ] Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV], 01 natural sciences, 010309 optics, Optics, [INFO.INFO-TS]Computer Science [cs]/Signal and Image Processing, 0103 physical sciences, 0202 electrical engineering, electronic engineering, information engineering, Specular reflection, Reflection (computer graphics), Digitization, 3D Scanning, business.industry, Triangulation (social science), [INFO.INFO-CV]Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV], Prototype, Computer Science Applications, Hardware and Architecture, Scanning from heating, [SPI.OPTI]Engineering Sciences [physics]/Optics / Photonic, 020201 artificial intelligence & image processing, Computer Vision and Pattern Recognition, Artificial intelligence, [ SPI.OPTI ] Engineering Sciences [physics]/Optics / Photonic, business, [SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing, Software
Abstract

International audience; Many experimental techniques and many commercial solutions have been proposed to realize non-contact 3D digitization of industrial objects. Unfortunately, the performances of active 3D scanners depend on the optical properties of the surface to digitize. That is why the results obtained by active 3D triangulation on specular or transparent surfaces are not as good as those obtained on diffuse surfaces. In this paper, we present the developments we have realized to address highly reflective metallic surfaces. These developments are based on the extension of a technique, called "Scanning from heating" and initially dedicated to glass material. In comparison to conventional active triangulation techniques that measure the reflection of visible radiation, we measure here the thermal emission of a surface, which is locally heated by a laser source. We describe in this paper the successive steps we have followed to adapt Scanning From Heating to metallic materials, to evaluate the performances and finally to develop an operational prototype. Keywords 3D Scanning Infrared Scanning from heating Specular surfaces Prototype

Published
2013
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45. 3D shape extraction of internal and external surfaces of glass objects

Author

Frederic Truchetet, Alban Bajard, Olivier Aubreton, Laboratoire Electronique, Informatique et Image ( Le2i ), Université de Bourgogne ( UB ) -AgroSup Dijon - Institut National Supérieur des Sciences Agronomiques, de l'Alimentation et de l'Environnement-Centre National de la Recherche Scientifique ( CNRS ), A.M. Baskurt, R. Sitnik, Laboratoire Electronique, Informatique et Image [UMR6306] (Le2i), Université de Bourgogne (UB)-École Nationale Supérieure d'Arts et Métiers (ENSAM), Arts et Métiers Sciences et Technologies, HESAM Université (HESAM)-HESAM Université (HESAM)-Arts et Métiers Sciences et Technologies, HESAM Université (HESAM)-HESAM Université (HESAM)-AgroSup Dijon - Institut National Supérieur des Sciences Agronomiques, de l'Alimentation et de l'Environnement-Centre National de la Recherche Scientifique (CNRS), and Truchetet, Frederic

Subjects
Surface (mathematics), Materials science, [ INFO.INFO-TS ] Computer Science [cs]/Signal and Image Processing, Diffuse reflectance infrared fourier transform, business.industry, [INFO.INFO-TS] Computer Science [cs]/Signal and Image Processing, Measure (physics), [INFO.INFO-CV]Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV], Triangulation (computer vision), transparent objects, [ SPI.SIGNAL ] Engineering Sciences [physics]/Signal and Image processing, [ INFO.INFO-CV ] Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV], Optics, [INFO.INFO-CV] Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV], [INFO.INFO-TS]Computer Science [cs]/Signal and Image Processing, glass depth, Reflection (physics), Diffuse reflection, Specular reflection, 3D scanning, business, [SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing, ComputingMilieux_MISCELLANEOUS, Visible spectrum, [SPI.SIGNAL] Engineering Sciences [physics]/Signal and Image processing
Abstract

Three-dimensional (3D) digitization of manufactured objects has been investigated for several years and consequently, many techniques have been proposed. Even if some techniques have been successfully commercialized, most of them assume a diffuse or near diffuse reflectance of the object’s surface, and difficulties remain for the acquisition of “optically non cooperative” surfaces, such as transparent or specular ones. To address such surfaces, we propose a non conventional technique, called “Scanning from Heating” (SfH). In contrast to classical active triangulation techniques that acquire the reflection of visible light, we measure the thermal emission of the heated surface. The aim of this paper is to demonstrate, by using the experimental setup designed for specular (transparent or not) objects, how this method allows reconstruction both of internal and external surfaces of glass objects from a unique measure.

Published
2013

46. Three-dimensional scanning of specular and diffuse metallic surfaces using an infrared technique

Author

Youssef Bokhabrine, Olivier Aubreton, Benjamin Verney, Gonen Eren, Alban Bajard, Frederic Truchetet, and Aytül Erçil

Subjects
Materials science, Infrared, business.industry, General Engineering, Point cloud, Triangulation (social science), Surface finish, 3D modeling, Atomic and Molecular Physics, and Optics, T Technology (General), Optics, Thermography, Reflection (physics), Specular reflection, business
Abstract

For the past two decades, the need for three-dimensional (3-D) scanning of industrial objects has increased significantly and many experimental techniques and commercial solutions have been proposed. However, difficulties remain for the acquisition of optically non-cooperative surfaces, such as transparent or specular surfaces. To address highly reflective metallic surfaces, we propose the extension of a technique that was originally dedicated to glass objects. In contrast to conventional active triangulation techniques that measure the reflection of visible radiation, we measure the thermal emission of a surface, which is locally heated by a laser source. Considering the thermophysical properties of metals, we present a simulation model of heat exchanges that are induced by the process, helping to demonstrate its feasibility on specular metallic surfaces and predicting the settings of the system. With our experimental device, we have validated the theoretical modeling and computed some 3-D point clouds from specular surfaces of various geometries. Furthermore, a comparison of our results with those of a conventional system on specular and diffuse parts will highlight that the accuracy of the measurement no longer depends on the roughness of the surface. (C) 2012 Society of Photo-Optical Instrumentation Engineers (SPIE). [DOI: 10.1117/1.OE.51.6.063603]

Published
2012

47. Estimation of surface normal vectors based on 3D scanning from heating approach

Author

Gonen Eren, Frederic Truchetet, Alban Bajard, Olivier Aubreton, Youssef Bokhabrine, Laboratoire Electronique, Informatique et Image ( Le2i ), Université de Bourgogne ( UB ) -AgroSup Dijon - Institut National Supérieur des Sciences Agronomiques, de l'Alimentation et de l'Environnement-Centre National de la Recherche Scientifique ( CNRS ), Laboratoire Electronique, Informatique et Image [UMR6306] (Le2i), Université de Bourgogne (UB)-Centre National de la Recherche Scientifique (CNRS)-École Nationale Supérieure d'Arts et Métiers (ENSAM), Arts et Métiers Sciences et Technologies, HESAM Université (HESAM)-HESAM Université (HESAM)-Arts et Métiers Sciences et Technologies, and HESAM Université (HESAM)-HESAM Université (HESAM)-AgroSup Dijon - Institut National Supérieur des Sciences Agronomiques, de l'Alimentation et de l'Environnement

Subjects
Surface (mathematics), Physics, [ INFO.INFO-TS ] Computer Science [cs]/Signal and Image Processing, business.industry, Orientation (computer vision), [INFO.INFO-CV]Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV], 020207 software engineering, Hot spot (veterinary medicine), Triangulation (computer vision), 02 engineering and technology, [ SPI.SIGNAL ] Engineering Sciences [physics]/Signal and Image processing, [ INFO.INFO-CV ] Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV], Optics, [INFO.INFO-TS]Computer Science [cs]/Signal and Image Processing, 0202 electrical engineering, electronic engineering, information engineering, Calibration, specular object, Point (geometry), Specular reflection, 3D scanning, business, [SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing, Normal, ComputingMilieux_MISCELLANEOUS
Abstract

The Scanning From Heating is a 3D scanning approach initially developed to realise 3D acquisition of transparent or specular surfaces. A laser source is used to create a local heating point. An infrared camera is used to observe the IR radiation emitted by the scene. The 2D coordinates of the heated point are computed in the 2D image of the camera. Knowing the parameters of the system (which are obtained by a previous calibration), the 3D coordinates of the point are computed using triangulation method. In this article we will present an extension of this technique. We propose here to analyse the shape of the hot spot observed by the IR camera, and, from the analysis to determine information on the local orientation of the surface at each measured point.

Published
2012
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48. 'Scanning from Heating' and 'Shape from Fluorescence'

Author

L. Sanchez-Sécades, Christophe Stolz, Olivier Aubreton, Gonen Eren, David Fofi, Frederic Truchetet, Fabrice Meriaudeau, A. Bajard, Olivier Morel, Rindra Rantoson, and I. Mohammed

Subjects
Materials science, Optics, business.industry, business, Fluorescence, Digitization
Abstract

3D surface acquisition is a subject which has been studied to a large extent. A significant number of techniques for acquiring shape have been proposed, and a wide range of commercial solutions are available. Nevertheless, today’s systems still have difficulties when digitizing objects with non-Lambertian surfaces in the visible light spectrum, as is the case of transparent, semi-transparent or highly reflective materials (e.g. glass, crystals, some plastics and shiny metals). In this chapter, some of the issues of traditional scanning systems are addressed by considering various approaches using the radioactive properties of materials, the polarization information of the reflected light as well as the generated fluorescence applied to the digitization of transparent object These approaches led to three recent techniques which can be referred as shape from polarization, shape from fluorescence as well as shape from heating (SFH). The two latest approaches will be exposed throughout this chapter.

Published
2011
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49. 3D Digitization of Metallic Specular Surfaces using Scanning from Heating Approach

Author

Gonen Eren, Frederic Truchetet, Alban Bajard, Pierre Sallamand, Olivier Aubreton, Laboratoire Electronique, Informatique et Image ( Le2i ), Université de Bourgogne ( UB ) -AgroSup Dijon - Institut National Supérieur des Sciences Agronomiques, de l'Alimentation et de l'Environnement-Centre National de la Recherche Scientifique ( CNRS ), VPA Laboratory, Sabanci University [Istanbul], Laboratoire Interdisciplinaire Carnot de Bourgogne ( LICB ), Université de Bourgogne ( UB ) -Centre National de la Recherche Scientifique ( CNRS ), Laboratoire Electronique, Informatique et Image [UMR6306] (Le2i), Université de Bourgogne (UB)-Centre National de la Recherche Scientifique (CNRS)-École Nationale Supérieure d'Arts et Métiers (ENSAM), Arts et Métiers Sciences et Technologies, HESAM Université (HESAM)-HESAM Université (HESAM)-Arts et Métiers Sciences et Technologies, HESAM Université (HESAM)-HESAM Université (HESAM)-AgroSup Dijon - Institut National Supérieur des Sciences Agronomiques, de l'Alimentation et de l'Environnement, Laboratoire Interdisciplinaire Carnot de Bourgogne (LICB), and Université de Bourgogne (UB)-Centre National de la Recherche Scientifique (CNRS)

Subjects
Computer science, business.industry, 3D reconstruction, Measure (physics), [INFO.INFO-CV]Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV], 02 engineering and technology, 3D modeling, [ INFO.INFO-CV ] Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV], 01 natural sciences, 010309 optics, Thermal conductivity, Optics, Specularity, 0103 physical sciences, 0202 electrical engineering, electronic engineering, information engineering, 020201 artificial intelligence & image processing, Specular reflection, business, Digitization
Abstract

International audience; Because of the difficulty of dealing with specularity of several surfaces, few methods have been proposed to measure three-dimensional shapes of specular metallic objects. In this paper we present an application on this kind of material of an approach called "Scanning From Heating". This approach has been developed initially for 3D reconstruction of transparent objects. This article presents an application of the working principle of SFH method on material with high thermal conductivity.

Published
2011
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50. 3-D Scanning of Nonopaque Objects by Means of Imaging Emitted Structured Infrared Patterns

Author

Olivier Aubreton, L Alonso Sanchez Secades, David Fofi, Gonen Eren, Frederic Truchetet, Fabrice Meriaudeau, Aytül Erçil, Laboratoire Electronique, Informatique et Image [UMR6306] (Le2i), Université de Bourgogne (UB)-École Nationale Supérieure d'Arts et Métiers (ENSAM), Arts et Métiers Sciences et Technologies, HESAM Université (HESAM)-HESAM Université (HESAM)-Arts et Métiers Sciences et Technologies, HESAM Université (HESAM)-HESAM Université (HESAM)-AgroSup Dijon - Institut National Supérieur des Sciences Agronomiques, de l'Alimentation et de l'Environnement-Centre National de la Recherche Scientifique (CNRS), Laboratoire Electronique, Informatique et Image ( Le2i ), and Université de Bourgogne ( UB ) -Centre National de la Recherche Scientifique ( CNRS ) -AgroSup Dijon - Institut National Supérieur des Sciences Agronomiques, de l'Alimentation et de l'Environnement

Subjects
Laser scanning, Infrared, Computer science, ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION, 3d scanning, 02 engineering and technology, [ INFO.INFO-CV ] Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV], 01 natural sciences, 010309 optics, Optics, 0103 physical sciences, 0202 electrical engineering, electronic engineering, information engineering, Calibration, Radiative transfer, Electrical and Electronic Engineering, Instrumentation, ComputingMilieux_MISCELLANEOUS, ComputingMethodologies_COMPUTERGRAPHICS, business.industry, Far-infrared laser, [INFO.INFO-CV]Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV], Transparency (human–computer interaction), Object (computer science), Optical scanners, 020201 artificial intelligence & image processing, business
Abstract

Three-dimensional surface acquisition is a subject that has been studied to a large extent; a significant number of techniques for acquiring shapes have been proposed, and a wide range of commercial solutions is available. Nevertheless, today's systems still have difficulties when digitizing objects that are transparent or semitransparent in the visible range. In this paper, some of the issues of traditional scanning systems are addressed by considering the radiative properties of materials. As a result, an infrared laser light-based scanner is presented for successfully acquiring the shape of complex surfaces by analyzing heat patterns that are emitted by the object.

Published
2010
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