20 results on '"stereomatching"'
Search Results
2. A survey on conventional and learning‐based methods for multi‐view stereo.
- Author
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Stathopoulou, Elisavet Konstantina and Remondino, Fabio
- Subjects
- *
POINT cloud , *PIXELS , *POSE estimation (Computer vision) , *DEEP learning , *ALGORITHMS , *IMAGE registration - Abstract
3D reconstruction of scenes using multiple images, relying on robust correspondence search and depth estimation, has been thoroughly studied for the two‐view and multi‐view scenarios in recent years. Multi‐view stereo (MVS) algorithms aim to generate a rich, dense 3D model of the scene in the form of a dense point cloud or a triangulated mesh. In a typical MVS pipeline, the robust estimations for the camera poses along with the sparse points obtained from structure from motion (SfM) are used as input. During this process, the depth of generally every pixel of the scene is to be calculated. Several methods, either conventional or, more recently, learning‐based have been developed for solving the correspondence search problem. A vast amount of research exists in the literature using local, global or semi‐global stereomatching approaches, with the PatchMatch algorithm being among the most popular and efficient conventional ones in the last decade. Yet, and despite the widespread evolution of the algorithms, yielding complete, accurate and aesthetically pleasing 3D representations of a scene remains an open issue in real‐world and large‐scale photogrammetric applications. This work aims to provide a concrete survey on the most widely used MVS methods, investigating underlying concepts and challenges. To this end, the theoretical background and relative literature are discussed for both conventional and learning‐based approaches, with a particular focus on close‐range 3D reconstruction applications. [ABSTRACT FROM AUTHOR]
- Published
- 2023
- Full Text
- View/download PDF
3. Sparse Point Cloud Filtering Algorithm Based on Mask
- Author
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FENG Lei, ZHU Deng-ming, LI Zhao-xin, WANG Zhao-qi
- Subjects
mask ,point cloud filtering ,3d reconstruction ,stereomatching ,triangular mesh processing ,Computer software ,QA76.75-76.765 ,Technology (General) ,T1-995 - Abstract
Image-based 3D reconstruction is widely used in practice due to less hardware constraints,lower cost and higher flexibility.Especially for the problems of sparseness and uneven density of the three-dimensional point cloud data generated by the image due to the occlusion between various parts of the object,it has always been a difficulty and hot issue to deal with.In this paper,a mask-based sparse point cloud filtering algorithm is proposed.Firstly,the bounding box of the point cloud is calculated and the grid is adaptively divided according to the sparseness of the point cloud.Secondly,Depth-first search is used to recursively find all customized connected domains composed of grids generated at the first step.Then adaptively calculating the threshold based on the quantized importance index,selecting the connected domains that should be retained based on the adaptive threshold,and defining the set of all retained connected domains as a mask,which is used to describe the global spatial topology information of the sparse point cloud.Finally,points covered by the mask are retained while points of the uncovered area are removed,so as to filter the outliers.This method can handle the point cloud data generated by occlusion and with great differences in spatial density.It can effectively remove outliers in the original three-dimensional point cloud data,while maintaining the detailed information of the point cloud.
- Published
- 2022
- Full Text
- View/download PDF
4. Forest cover changes in Gorce NP (Poland) using photointerpretation of analogue photographs and GEOBIA of orthophotos and nDSM based on image-matching based approach
- Author
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Piotr Wezyk, Pawel Hawrylo, Bartlomiej Janus, Markus Weidenbach, and Marta Szostak
- Subjects
Stereomatching ,object-based image analysis ,forest change ,Oceanography ,GC1-1581 ,Geology ,QE1-996.5 - Abstract
Forest cover change can be detected with high precision using 3D geospatial data and semi-automatic analyses of Remote Sensing data. The aim of our study, performed in Gorce National Park in Poland, was to generate a land use land cover (LULC) map and use it to analyse forest cover change. The study area is a subalpine forest region that has been affected by bark beetle and wind disturbances. The Geographic Object-Based Image Analysis approach was used for classification, with Colour Infrared orthophotos and normalized Digital Surface Models generated using image-matching approach. Gathered results showed that dominating LULC class is coniferous forests (3380 ha; 47% of study area), when second largest class is deciduous forests (2204 ha; 30%). The dead Norway spruce stands (465.5 ha; 6.5%) showed significant increase comparing to 114.1 ha mapped in 1997.
- Published
- 2018
- Full Text
- View/download PDF
5. Forest cover changes in Gorce NP (Poland) using photointerpretation of analogue photographs and GEOBIA of orthophotos and nDSM based on image-matching based approach.
- Author
-
Wezyk, Piotr, Hawrylo, Pawel, Janus, Bartlomiej, Weidenbach, Markus, and Szostak, Marta
- Subjects
FOREST conversion ,LAND cover ,LAND use - Abstract
Forest cover change can be detected with high precision using 3D geospatial data and semi-automatic analyses of Remote Sensing data. The aim of our study, performed in Gorce National Park in Poland, was to generate a land use land cover (LULC) map and use it to analyse forest cover change. The study area is a subalpine forest region that has been affected by bark beetle and wind disturbances. The Geographic Object-Based Image Analysis approach was used for classification, with Colour Infrared orthophotos and normalized Digital Surface Models generated using image-matching approach. Gathered results showed that dominating LULC class is coniferous forests (3380 ha; 47% of study area), when second largest class is deciduous forests (2204 ha; 30%). The dead Norway spruce stands (465.5 ha; 6.5%) showed significant increase comparing to 114.1 ha mapped in 1997. [ABSTRACT FROM AUTHOR]
- Published
- 2018
- Full Text
- View/download PDF
6. INTEGRATION OF DIGITAL SURFACE MODELS FROM PHOTOGRAMMETRIC AND AIRBORNE LASER SCANNING DATA FOR THE PROCESSING OF RADAR IMAGERY.
- Author
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Kraszewski, Bartłomiej, Karwel, Artur Karol, Kurczyński, Zdzisław, and Ziółkowski, Dariusz
- Subjects
- *
DIGITAL elevation models , *PHOTOGRAMMETRY , *AIRBORNE lasers , *RADAR processing , *DEFORMATIONS (Mechanics) - Abstract
Data from photogrammetry measurements and airborne laser scanning are excellent source for accurate Digital Surface Models (DSM) development. These models are used for various purposes, including deformation studies with Persistent Scatterer Interferometry with the use of high resolution radar images. The Polish geospatial resources have large databases of these models obtained within lidar and photogrammetric projects. The best accurate models for high resolution image processing are generated from LiDAR data but unfortunately these data don't cover the whole country. For areas for which we don't have overlapping height models we can apply existing lidar elevation data. We can use to it elevation data derived from aerial image stereo matching. This paper presents the method of generating DSM from integration of different source data for radar image processing. It is very important task, as we need DSM of comparable accuracy for the whole radar scene to get consistent interferometric results. Output DSM had 3 meter resolution as Cosmo-SkyMed high resolution radar images. To generate this model we used DSM from aerial images matching and generalized DSM from models with 0.5 m resolution from LiDAR data. Additional DSM from image matching has been subjected to manual errors improvement. In the accuracy analysis of DSM we compare heights for both integrated models for different land cover areas. Average difference between models height was - 30 cm for all analyzed types of terrain, and standard deviation was 4 m. In case of flat area difference was -14 cm and standard deviation was 35 cm. The conclusion from integration is that in flat and urban areas we can integrate height models from LiDAR and photogrammetry matching to radar data processing. [ABSTRACT FROM AUTHOR]
- Published
- 2016
7. Line-Constrained Camera Location Estimation in Multi-Image Stereomatching.
- Author
-
Donné, Simon, Goossens, Bart, and Philips, Wilfried
- Subjects
- *
STEREO vision (Computer science) , *LIGHT-field cameras , *IMAGE processing , *COMPUTER graphics , *ESTIMATION theory - Abstract
Stereomatching is an effective way of acquiring dense depth information from a scene when active measurements are not possible. So-called lightfield methods take a snapshot from many camera locations along a defined trajectory (usually uniformly linear or on a regular grid--we will assume a linear trajectory) and use this information to compute accurate depth estimates. However, they require the locations for each of the snapshots to be known: the disparity of an object between images is related to both the distance of the camera to the object and the distance between the camera positions for both images. Existing solutions use sparse feature matching for camera location estimation. In this paper, we propose a novel method that uses dense correspondences to do the same, leveraging an existing depth estimation framework to also yield the camera locations along the line. We illustrate the effectiveness of the proposed technique for camera location estimation both visually for the rectification of epipolar plane images and quantitatively with its effect on the resulting depth estimation. Our proposed approach yields a valid alternative for sparse techniques, while still being executed in a reasonable time on a graphics card due to its highly parallelizable nature. [ABSTRACT FROM AUTHOR]
- Published
- 2017
- Full Text
- View/download PDF
8. DETERMINATION OF THE NUMBER OF TREES IN THE BORY TUCHOLSKIE NATIONAL PARK USING CROWN DELINEATION OF THE CANOPY HEIGHT MODELS DERIVED FROM AERIAL PHOTOS MATCHING AND AIRBORNE LASER SCANNING DATA.
- Author
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Wężyk, Piotr, Hawryło, Paweł, and Szostak, Marta
- Subjects
- *
AERIAL photography , *AIRBORNE lasers - Abstract
In recent years the term "precise forestry" has been used more and more often, referring to a modern and sustainable model of forest management. Functioning of such management of wood biomass resources is based, among others, on precisely defined and log-term monitored selected forest taxation parameters of single trees and whole forest stands based on modern geoinformation technologies, including Airborne Laser Scanning (ALS) and digital photogrammetry. The purpose of the work was the analysis of the usefulness of the CHM (Canopy Height Model) generated from the image-based point cloud or ALS technology to define the number of trees using the method of the segmentation of single Scots pine (Pinus sylvestris L.) crowns. The study was carried out in the Scots pine stands located in the Bory Tucholskie National Park (Poland). Due to the intentional lack of certain silviculture treatments, over the recent decades, these forest stands have been characterized by relatively high tree density, compared to managed forests. The CHM was generated from digital airborne photos (CIR composition; GSD 0.15 m) and on the other hand - from the ALS point clouds (4 points/m2; ISOK project). To generate point clouds from airborne photos using stereomatching method, the PhotoScan Professional (Agisoft) software was applied. The CHM coming from the Image-Based Point Cloud (CHM_IPC; GSD: 0.30 m) and ALS data (CHM_ALS; GSD: 0.75 m) were generated using FUSION (USDA Forest Service) software. The segmentation of tree crowns was carried out in eCognition Developer (TRIMBLE GeoSpatial) software. Apart from height models, also spectral information was used (so-called true CIR orthophotomaps; GSD: 0.3 and 0.75 m). To assess the accuracy of the obtained results, the ground truth data from 248 reference areas were used. The carried out analyses showed that in forest stands of younger age classes (< 120 years) better results were achieved applying the method of image matching (CHM_IPC), while in the case of older stands (> 120 years) the accuracy of the detection rate of tree crowns was the highest when CHM_ALS model was applied. The mean percentage error (defined by the number of trees, based on the detection of single pine crowns), calculated based on 248 ground truth areas was 0.89%, which shows a great potential of digital photogrammetry (IPC) and GEOBIA. In case of almost full nationwide cover in Poland of airborne digital images (present IPC models) and ALS point clouds (DTM and DSM), at almost 71% forest stands in the Polish State Forests National Forest Holding (PGL LP), one can assume wide application of geodata (available free of charge) in precise modelling of selected tree stand parameters all over Poland. [ABSTRACT FROM AUTHOR]
- Published
- 2016
- Full Text
- View/download PDF
9. Census Filtering Based Stereomatching under Varying Radiometric Conditions.
- Author
-
Sarika, S., Deepambika, V.A., and Rahman, M. Abdul
- Subjects
MATCHING theory ,RADIOMETRIC methods ,MATHEMATICAL transformations ,PIXELS ,WINDOWS (Graphical user interfaces) - Abstract
Census transform is a non-parametric local transform which is based on the relative ordering of pixels instead of the pixel intensity values within a window; therefore it is insensitive to radiometric variations like exposure changes and illumination variations. This work focuses on an efficient census filtering based local steromatching for images taken under varying radiometric conditions. For matching cost value computation hamming distance is taken for the dissimilarity measure. Finally for cost aggregation guided filtering is used. Guided filter has edge preserving property and runs faster than the bilateral filtering based cost aggregation. The experimental results shows that the proposed algorithm provides better disparities for images taken under varying radiometric conditions than the conventional stereomatching algorithm. [ABSTRACT FROM AUTHOR]
- Published
- 2015
- Full Text
- View/download PDF
10. Line-Constrained Camera Location Estimation in Multi-Image Stereomatching
- Author
-
Simon Donné, Bart Goossens, and Wilfried Philips
- Subjects
stereomatching ,lightfield images ,camera location estimation ,Chemical technology ,TP1-1185 - Abstract
Stereomatching is an effective way of acquiring dense depth information from a scene when active measurements are not possible. So-called lightfield methods take a snapshot from many camera locations along a defined trajectory (usually uniformly linear or on a regular grid—we will assume a linear trajectory) and use this information to compute accurate depth estimates. However, they require the locations for each of the snapshots to be known: the disparity of an object between images is related to both the distance of the camera to the object and the distance between the camera positions for both images. Existing solutions use sparse feature matching for camera location estimation. In this paper, we propose a novel method that uses dense correspondences to do the same, leveraging an existing depth estimation framework to also yield the camera locations along the line. We illustrate the effectiveness of the proposed technique for camera location estimation both visually for the rectification of epipolar plane images and quantitatively with its effect on the resulting depth estimation. Our proposed approach yields a valid alternative for sparse techniques, while still being executed in a reasonable time on a graphics card due to its highly parallelizable nature.
- Published
- 2017
- Full Text
- View/download PDF
11. Forest cover changes in Gorce NP (Poland) using photointerpretation of analogue photographs and GEOBIA of orthophotos and nDSM based on image-matching based approach
- Author
-
Bartlomiej Janus, Markus Weidenbach, Marta Szostak, Piotr Wężyk, and Paweł Hawryło
- Subjects
Atmospheric Science ,Stereomatching ,Geospatial analysis ,010504 meteorology & atmospheric sciences ,forest change ,0211 other engineering and technologies ,Image processing ,02 engineering and technology ,computer.software_genre ,01 natural sciences ,lcsh:Oceanography ,Forest cover ,lcsh:GC1-1581 ,Computers in Earth Sciences ,021101 geological & geomatics engineering ,0105 earth and related environmental sciences ,General Environmental Science ,Land use ,National park ,Applied Mathematics ,lcsh:QE1-996.5 ,Orthophoto ,lcsh:Geology ,Deciduous ,Geography ,Remote sensing (archaeology) ,object-based image analysis ,Cartography ,computer - Abstract
Forest cover change can be detected with high precision using 3D geospatial data and semi-automatic analyses of Remote Sensing data. The aim of our study, performed in Gorce National Park in Poland, was to generate a land use land cover (LULC) map and use it to analyse forest cover change. The study area is a subalpine forest region that has been affected by bark beetle and wind disturbances. The Geographic Object-Based Image Analysis approach was used for classification, with Colour Infrared orthophotos and normalized Digital Surface Models generated using image-matching approach. Gathered results showed that dominating LULC class is coniferous forests (3380 ha; 47% of study area), when second largest class is deciduous forests (2204 ha; 30%). The dead Norway spruce stands (465.5 ha; 6.5%) showed significant increase comparing to 114.1 ha mapped in 1997.
- Published
- 2018
12. Digital Aerial Photogrammetry (DAP) and Airborne Laser Scanning (ALS) as Sources of Information about Tree Height: Comparisons of the Accuracy of Remote Sensing Methods for Tree Height Estimation
- Author
-
Krzysztof Stereńczak, Agnieszka Kamińska, and Miłosz Mielcarek
- Subjects
Canopy ,010504 meteorology & atmospheric sciences ,Laser scanning ,Mean squared error ,DAP ,ALS ,CHM ,tree height ,forestry ,photogrammetry ,stereomatching ,Science ,0211 other engineering and technologies ,02 engineering and technology ,01 natural sciences ,Digital elevation model ,021101 geological & geomatics engineering ,0105 earth and related environmental sciences ,Mathematics ,Remote sensing ,Tree (data structure) ,Photogrammetry ,General Earth and Planetary Sciences ,Digital surface ,Tree species - Abstract
The rapid developments in the field of digital aerial photogrammetry (DAP) in recent years have increased interest in the application of DAP data for extracting three-dimensional (3D) models of forest canopies. This technology, however, still requires further investigation to confirm its reliability in estimating forest attributes in complex forest conditions. The main purpose of this study was to evaluate the accuracy of tree height estimation based on a crown height model (CHM) generated from the difference between a DAP-derived digital surface model (DSM) and an airborne laser scanning (ALS)-derived digital terrain model (DTM). The tree heights determined based on the DAP-CHM were compared with ground-based measurements and heights obtained using ALS data only (ALS-CHM). Moreover, tree- and stand-related factors were examined to evaluate the potential influence on the obtained discrepancies between ALS- and DAP-derived heights. The obtained results indicate that the differences between the means of field-measured heights and DAP-derived heights were statistically significant. The root mean square error (RMSE) calculated in the comparison of field heights and DAP-derived heights was 1.68 m (7.34%). The results obtained for the CHM generated using only ALS data produced slightly lower errors, with RMSE = 1.25 m (5.46%) on average. Both ALS and DAP displayed the tendency to underestimate tree heights compared to those measured in the field; however, DAP produced a higher bias (1.26 m) than ALS (0.88 m). Nevertheless, DAP heights were highly correlated with the heights measured in the field (R2 = 0.95) and ALS-derived heights (R2 = 0.97). Tree species and height difference (the difference between the reference tree height and mean tree height in a sample plot) had the greatest influence on the differences between ALS- and DAP-derived heights. Our study confirms that a CHM computed based on the difference between a DAP-derived DSM and an ALS-derived DTM can be successfully used to measure the height of trees in the upper canopy layer.
- Published
- 2020
13. Census Filtering Based Stereomatching under Varying Radiometric Conditions
- Author
-
M. Abdul Rahman, S. Sarika, and V.A. Deepambika
- Subjects
Stereomatching ,Matching (graph theory) ,Pixel ,Computer science ,business.industry ,Censustransform ,Hammingdistance ,ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION ,Radiometricvariations ,Pattern recognition ,Filter (signal processing) ,Measure (mathematics) ,Guidedfilter ,General Earth and Planetary Sciences ,Computer vision ,Bilateral filter ,Enhanced Data Rates for GSM Evolution ,Artificial intelligence ,business ,General Environmental Science - Abstract
Census transform is a non-parametric local transform which is based on the relative ordering of pixels instead of the pixel intensity values within a window; therefore it is insensitive to radiometric variations like exposure changes and illumination variations. This work focuses on an efficient census filtering based local steromatching for images taken under varying radiometric conditions. For matching cost value computation hamming distance is taken for the dissimilarity measure. Finally for cost aggregation guided filtering is used. Guided filter has edge preserving property and runs faster than the bilateral filtering based cost aggregation. The experimental results shows that the proposed algorithm provides better disparities for images taken under varying radiometric conditions than the conventional stereomatching algorithm.
- Published
- 2015
14. Line-constrained camera location estimation in multi-image stereomatching
- Author
-
Bart Goossens, Wilfried Philips, and Simon Donné
- Subjects
0209 industrial biotechnology ,Technology and Engineering ,Computer science ,Epipolar geometry ,ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION ,02 engineering and technology ,lcsh:Chemical technology ,Biochemistry ,Article ,Analytical Chemistry ,020901 industrial engineering & automation ,Rectification ,Camera auto-calibration ,0202 electrical engineering, electronic engineering, information engineering ,lcsh:TP1-1185 ,Computer vision ,Electrical and Electronic Engineering ,Graphics ,Instrumentation ,camera location estimation ,business.industry ,stereomatching ,lightfield images ,Multi-image ,Atomic and Molecular Physics, and Optics ,Computer Science::Computer Vision and Pattern Recognition ,020201 artificial intelligence & image processing ,Artificial intelligence ,business ,Camera resectioning - Abstract
Stereomatching is an effective way of acquiring dense depth information from a scene when active measurements are not possible. So-called lightfield methods take a snapshot from many camera locations along a defined trajectory (usually uniformly linear or on a regular grid—we will assume a linear trajectory) and use this information to compute accurate depth estimates. However, they require the locations for each of the snapshots to be known: the disparity of an object between images is related to both the distance of the camera to the object and the distance between the camera positions for both images. Existing solutions use sparse feature matching for camera location estimation. In this paper, we propose a novel method that uses dense correspondences to do the same, leveraging an existing depth estimation framework to also yield the camera locations along the line. We illustrate the effectiveness of the proposed technique for camera location estimation both visually for the rectification of epipolar plane images and quantitatively with its effect on the resulting depth estimation. Our proposed approach yields a valid alternative for sparse techniques, while still being executed in a reasonable time on a graphics card due to its highly parallelizable nature.
- Published
- 2017
15. Digital Aerial Photogrammetry (DAP) and Airborne Laser Scanning (ALS) as Sources of Information about Tree Height: Comparisons of the Accuracy of Remote Sensing Methods for Tree Height Estimation.
- Author
-
Mielcarek, Miłosz, Kamińska, Agnieszka, and Stereńczak, Krzysztof
- Subjects
- *
TREE height , *DIGITAL photogrammetry , *AERIAL photogrammetry , *AIRBORNE lasers , *REMOTE sensing , *INFORMATION resources - Abstract
The rapid developments in the field of digital aerial photogrammetry (DAP) in recent years have increased interest in the application of DAP data for extracting three-dimensional (3D) models of forest canopies. This technology, however, still requires further investigation to confirm its reliability in estimating forest attributes in complex forest conditions. The main purpose of this study was to evaluate the accuracy of tree height estimation based on a crown height model (CHM) generated from the difference between a DAP-derived digital surface model (DSM) and an airborne laser scanning (ALS)-derived digital terrain model (DTM). The tree heights determined based on the DAP-CHM were compared with ground-based measurements and heights obtained using ALS data only (ALS-CHM). Moreover, tree- and stand-related factors were examined to evaluate the potential influence on the obtained discrepancies between ALS- and DAP-derived heights. The obtained results indicate that the differences between the means of field-measured heights and DAP-derived heights were statistically significant. The root mean square error (RMSE) calculated in the comparison of field heights and DAP-derived heights was 1.68 m (7.34%). The results obtained for the CHM generated using only ALS data produced slightly lower errors, with RMSE = 1.25 m (5.46%) on average. Both ALS and DAP displayed the tendency to underestimate tree heights compared to those measured in the field; however, DAP produced a higher bias (1.26 m) than ALS (0.88 m). Nevertheless, DAP heights were highly correlated with the heights measured in the field (R2 = 0.95) and ALS-derived heights (R2 = 0.97). Tree species and height difference (the difference between the reference tree height and mean tree height in a sample plot) had the greatest influence on the differences between ALS- and DAP-derived heights. Our study confirms that a CHM computed based on the difference between a DAP-derived DSM and an ALS-derived DTM can be successfully used to measure the height of trees in the upper canopy layer. [ABSTRACT FROM AUTHOR]
- Published
- 2020
- Full Text
- View/download PDF
16. Modeling Foreshortening in Stereo Vision Using Local Spatial Frequency.
- Abstract
Many aspects of the real world continue to plague stereo matching systems. One of these is perspective foreshortening, an effect that occurs when a surface is viewed at a sharp angle. Because each stereo camera has a slightly different view, the image of the surface is more compressed and occupies a smaller area in one view. These effects cause problems because most stereo methods compare similarly-sized regions (using the same-sized windows in both images), tacitly assuming that objects occupy the same extents in both images. Clearly this condition is violated by perspective foreshortening. We show how to overcome this problem using a Local Spatial Frequency representation. A simple geometric analysis leads to an elegant solution in the frequency domain which, when applied to a Gabor filter-based stereo system, increases the system's maximum matchable surface angle from 30 degrees to over 75 degrees.
- Published
- 1995
17. Efficient disparity map estimation using occlusion handling for various 3D multimedia applications.
- Author
-
Jang, Woo-Seok and Ho, Yo-Sung
- Subjects
- *
APPLICATION software , *ESTIMATION theory software , *PROGRAM transformation , *ALGORITHMS , *PIXELS - Abstract
Disparity acquisition is beneficial to various 3D multimedia applications, i.e., free viewpoint TV (FTV), 3DTV, and 3D scene model reconstruction. In this paper, we propose an efficient disparity map estimation method with occlusion handling taken into account. In order to detect occlusion, we obtain left and right initial disparity maps via optimization based on modified constant-space belief propagation, a low complexity algorithm. The initial disparity maps provide clues for occlusion detection. From the clues, an energy function is defined and optimized by energy minimization framework. We define two occlusion types and apply suitable occlusion handling processes, accordingly. The proposed occlusion handling method extends disparity values of visible pixels to occluded pixels. Experimental results show that our method provides near-ground truth occlusion and a superior disparity map compared to other stateof- the-art methods with occlusion handling. Our contribution provides solid advantages regarding disparity map estimation, which is useful for various 3D multimedia applications. [ABSTRACT FROM AUTHOR]
- Published
- 2011
- Full Text
- View/download PDF
18. Vyhledávání objektu v digitálních snímcích
- Abstract
Tato práce se venuje detekci objektu v digitálních snímcích. Popisuje teoretické predpoklady k vyhledávání pomocí algoritmu template matching a SURF a jejich následné využití pri rešení korespondencního problému. Dále se práce venuje návrhu, implementaci a testování aplikace využívající zmínené algoritmy v jazyku C++ za využití knihoven OpenCV a Qt. Na záver popisuje formy testování a shrnuje získané výsledky., This work deals with pattern matching in digital images. It describes theoretical presumptions for matching using template matching and SURF algorithms and their following use in solving correspondence problem. Work also describes design, implementation and testing phase of application, which uses aforesaid algorithms written in C++ language with OpenCV and Qt libraries. At the end this thesis describes format of tests and summarize obtained results.
19. Vyhledávání objektu v digitálních snímcích
- Abstract
Tato práce se venuje detekci objektu v digitálních snímcích. Popisuje teoretické predpoklady k vyhledávání pomocí algoritmu template matching a SURF a jejich následné využití pri rešení korespondencního problému. Dále se práce venuje návrhu, implementaci a testování aplikace využívající zmínené algoritmy v jazyku C++ za využití knihoven OpenCV a Qt. Na záver popisuje formy testování a shrnuje získané výsledky., This work deals with pattern matching in digital images. It describes theoretical presumptions for matching using template matching and SURF algorithms and their following use in solving correspondence problem. Work also describes design, implementation and testing phase of application, which uses aforesaid algorithms written in C++ language with OpenCV and Qt libraries. At the end this thesis describes format of tests and summarize obtained results.
20. Vyhledávání objektu v digitálních snímcích
- Abstract
Tato práce se venuje detekci objektu v digitálních snímcích. Popisuje teoretické predpoklady k vyhledávání pomocí algoritmu template matching a SURF a jejich následné využití pri rešení korespondencního problému. Dále se práce venuje návrhu, implementaci a testování aplikace využívající zmínené algoritmy v jazyku C++ za využití knihoven OpenCV a Qt. Na záver popisuje formy testování a shrnuje získané výsledky., This work deals with pattern matching in digital images. It describes theoretical presumptions for matching using template matching and SURF algorithms and their following use in solving correspondence problem. Work also describes design, implementation and testing phase of application, which uses aforesaid algorithms written in C++ language with OpenCV and Qt libraries. At the end this thesis describes format of tests and summarize obtained results.
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