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2. Blind Image Quality Assessment Based on the Use of Saliency Maps and a Multivariate Gaussian Distribution

Author

Charrier, Christophe, Saadane, Abdelhakim, Fernandez-Maloigne, Christine, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Woeginger, Gerhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Ricci, Elisa, editor, Rota Bulò, Samuel, editor, Snoek, Cees, editor, Lanz, Oswald, editor, Messelodi, Stefano, editor, and Sebe, Nicu, editor

Published
2019
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5. Local Water Diffusion Phenomenon Clustering From High Angular Resolution Diffusion Imaging (HARDI)

Author

Giot, Romain, Charrier, Christophe, and Descoteaux, Maxime

Subjects
Computer Science - Learning, Computer Science - Computer Vision and Pattern Recognition
Abstract

The understanding of neurodegenerative diseases undoubtedly passes through the study of human brain white matter fiber tracts. To date, diffusion magnetic resonance imaging (dMRI) is the unique technique to obtain information about the neural architecture of the human brain, thus permitting the study of white matter connections and their integrity. However, a remaining challenge of the dMRI community is to better characterize complex fiber crossing configurations, where diffusion tensor imaging (DTI) is limited but high angular resolution diffusion imaging (HARDI) now brings solutions. This paper investigates the development of both identification and classification process of the local water diffusion phenomenon based on HARDI data to automatically detect imaging voxels where there are single and crossing fiber bundle populations. The technique is based on knowledge extraction processes and is validated on a dMRI phantom dataset with ground truth., Comment: IAPR International Conference on Pattern Recognition (ICPR), Tsukuba, Japan : France (2012)

Published
2012

9. No-Reference Learning-Based and Human Visual-Based Image Quality Assessment Metric

Author

Charrier, Christophe, Saadane, Abdelhakim, Fernandez-Maloigne, Christine, Hutchison, David, Series editor, Kanade, Takeo, Series editor, Kittler, Josef, Series editor, Kleinberg, Jon M., Series editor, Mattern, Friedemann, Series editor, Mitchell, John C., Series editor, Naor, Moni, Series editor, Pandu Rangan, C., Series editor, Steffen, Bernhard, Series editor, Terzopoulos, Demetri, Series editor, Tygar, Doug, Series editor, Weikum, Gerhard, Series editor, Battiato, Sebastiano, editor, Gallo, Giovanni, editor, Schettini, Raimondo, editor, and Stanco, Filippo, editor

Published
2017
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12. EvaBio a New Modular Platform to Evaluate Biometric System

Author

Vibert, Benoit, Yao, Zhigang, Vernois, Sylvain, Le Bars, Jean-Marie, Charrier, Christophe, Rosenberger, Christophe, Diniz Junqueira Barbosa, Simone, Series editor, Chen, Phoebe, Series editor, Du, Xiaoyong, Series editor, Filipe, Joaquim, Series editor, Kara, Orhun, Series editor, Liu, Ting, Series editor, Kotenko, Igor, Series editor, Sivalingam, Krishna M., Series editor, Washio, Takashi, Series editor, Camp, Olivier, editor, Weippl, Edgar, editor, Bidan, Christophe, editor, and Aïmeur, Esma, editor

Published
2015
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22. Color VQ-Based Image Compression by Manifold Learning

Author

Charrier, Christophe, Lézoray, Olivier, Hutchison, David, editor, Kanade, Takeo, editor, Kittler, Josef, editor, Kleinberg, Jon M., editor, Mattern, Friedemann, editor, Mitchell, John C., editor, Naor, Moni, editor, Nierstrasz, Oscar, editor, Pandu Rangan, C., editor, Steffen, Bernhard, editor, Sudan, Madhu, editor, Terzopoulos, Demetri, editor, Tygar, Doug, editor, Vardi, Moshe Y., editor, Weikum, Gerhard, editor, Elmoataz, Abderrahim, editor, Lezoray, Olivier, editor, Nouboud, Fathallah, editor, Mammass, Driss, editor, and Meunier, Jean, editor

Published
2010
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29. Impact Of Environmental Conditions On Fingerprint Systems Performance

Author

Wone, Abdarahmane, Di Manno, Joël, Charrier, Christophe, Rosenberger, Christophe, Equipe SAFE - Laboratoire GREYC - UMR6072, Groupe de Recherche en Informatique, Image et Instrumentation de Caen (GREYC), Centre National de la Recherche Scientifique (CNRS)-École Nationale Supérieure d'Ingénieurs de Caen (ENSICAEN), Normandie Université (NU)-Normandie Université (NU)-Université de Caen Normandie (UNICAEN), Normandie Université (NU)-Centre National de la Recherche Scientifique (CNRS)-École Nationale Supérieure d'Ingénieurs de Caen (ENSICAEN), Normandie Université (NU), FIME EMEA, and WONE, Abdarahmane

Subjects
biometric performance, [SPI] Engineering Sciences [physics], Data_MISCELLANEOUS, acquisition conditions, Real-life biometric testing, [INFO] Computer Science [cs], environmental conditions, 03 medical and health sciences, [SPI]Engineering Sciences [physics], 0302 clinical medicine, 030502 gerontology, [INFO]Computer Science [cs], 0305 other medical science, certification of fingerprint systems, 030217 neurology & neurosurgery
Abstract

International audience; Biometrics testing has for objective to determine the performance of a biometric system in order to guarantee security and user experience requirements. Providing trust in biometric systems is a key for many manufacturers. The performance is usually measured through the computation of matching scores between legitimate and impostor samples from a given database. Different bias in particular those linked to the environmental conditions can modify the performance of a biometric system. In this paper, we study the impact of acquisition conditions on fingerprint systems considering at the same time the quality and accuracy. We defined an own-made database controlling the acquisition conditions and we observe the behavior of three different matchers on these biometric data. Experimental results allow us to quantify their impact on performance and draw conclusions for testing biometric systems.

Published
2021

33. La biométrie comportementale, Quand nos actes permettent de nous identifier

Author

Charrier, Christophe, Rosenberger, Christophe, Barbier, Morgan, Equipe SAFE - Laboratoire GREYC - UMR6072, Groupe de Recherche en Informatique, Image et Instrumentation de Caen (GREYC), Centre National de la Recherche Scientifique (CNRS)-École Nationale Supérieure d'Ingénieurs de Caen (ENSICAEN), Normandie Université (NU)-Normandie Université (NU)-Université de Caen Normandie (UNICAEN), Normandie Université (NU)-Centre National de la Recherche Scientifique (CNRS)-École Nationale Supérieure d'Ingénieurs de Caen (ENSICAEN), and Normandie Université (NU)

Subjects
[INFO.INFO-CR]Computer Science [cs]/Cryptography and Security [cs.CR], [INFO]Computer Science [cs], [INFO] Computer Science [cs], ComputingMilieux_MISCELLANEOUS, [INFO.INFO-CR] Computer Science [cs]/Cryptography and Security [cs.CR]
Abstract

National audience

Published
2021

34. Les attaques par présentation des systèmes biométriques, Quand la réalité rejoint James Bond

Author

Falade, Joannes, Charrier, Christophe, Rosenberger, Christophe, Barbier, Morgan, Equipe SAFE - Laboratoire GREYC - UMR6072, Groupe de Recherche en Informatique, Image et Instrumentation de Caen (GREYC), Centre National de la Recherche Scientifique (CNRS)-École Nationale Supérieure d'Ingénieurs de Caen (ENSICAEN), Normandie Université (NU)-Normandie Université (NU)-Université de Caen Normandie (UNICAEN), Normandie Université (NU)-Centre National de la Recherche Scientifique (CNRS)-École Nationale Supérieure d'Ingénieurs de Caen (ENSICAEN), and Normandie Université (NU)

Subjects
[INFO.INFO-CR]Computer Science [cs]/Cryptography and Security [cs.CR], [INFO]Computer Science [cs], [INFO] Computer Science [cs], ComputingMilieux_MISCELLANEOUS, [INFO.INFO-CR] Computer Science [cs]/Cryptography and Security [cs.CR]
Abstract

National audience

Published
2021

35. La biométrie comportementale

Author

Charrier, Christophe and Rosenberger, Christophe

Abstract

Le terme biométrie fait en général référence dans l’imaginaire collectif à l’exploitation d’empreintes digitales ou de l’ADN pour identifier des criminels. Savez-vous que dans votre quotidien, plusieurs services numériques analysent votre comportement pour vous protéger mais aussi pour vous cibler ?

Published
2021
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36. Les attaques par présentation des systèmes biométriques

Author

Falade, Joannes, Charrier, Christophe, and Rosenberger, Christophe

Abstract

Un système biométrique vise en général à sécuriser l’accès à une ressource logique ou physique. Attaquer un système biométrique est malgré tout possible de différentes façons. L’attaque par présentation est spécifique à la biométrie, elle a été rendue populaire dans un film de James Bond en 1971.

Published
2021
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37. Mono and Multi-Modal Biometric Systems Assessment by a Common Black Box Testing Framework

Author

Cabana, Antoine, Charrier, Christophe, Equipe SAFE - Laboratoire GREYC - UMR6072, Groupe de Recherche en Informatique, Image et Instrumentation de Caen (GREYC), Centre National de la Recherche Scientifique (CNRS)-École Nationale Supérieure d'Ingénieurs de Caen (ENSICAEN), Normandie Université (NU)-Normandie Université (NU)-Université de Caen Normandie (UNICAEN), Normandie Université (NU)-Centre National de la Recherche Scientifique (CNRS)-École Nationale Supérieure d'Ingénieurs de Caen (ENSICAEN), Normandie Université (NU), and Charrier, Christophe

Subjects
Black Box Evaluation, [INFO.INFO-CR]Computer Science [cs]/Cryptography and Security [cs.CR], Biometrics, Performance evaluation, [INFO.INFO-CR] Computer Science [cs]/Cryptography and Security [cs.CR]
Abstract

International audience; As a trending method for the authentication, biometrics tends to be integrated in various devices, and in particular in smartphones. If the evaluation is performed on operational device, the biometric sample and algorithm are not reachable by the assessors. So, these latter have to perform an evaluation on a system considered as a black box. This kind of evaluation implies numerous manual comparison. This paper proposes a methodology to perform an evaluation of biometric black boxes. In order to obtain this methodology, two experiments were performed in order to determine an optimized conduct. Nevertheless, these experiments were realized with small test population, in order to assess the methodology a full scale evaluation was performed. This paper describes the used methodology to perform evaluation on black boxes systems, and the results obtained on the systems under test.

Published
2019

38. Attaque des systèmes biométriques par reconnaissance faciale

Author

Charrier, Christophe, Charrier, Christophe, Equipe SAFE - Laboratoire GREYC - UMR6072, Groupe de Recherche en Informatique, Image et Instrumentation de Caen (GREYC), Centre National de la Recherche Scientifique (CNRS)-École Nationale Supérieure d'Ingénieurs de Caen (ENSICAEN), Normandie Université (NU)-Normandie Université (NU)-Université de Caen Normandie (UNICAEN), Normandie Université (NU)-Centre National de la Recherche Scientifique (CNRS)-École Nationale Supérieure d'Ingénieurs de Caen (ENSICAEN), and Normandie Université (NU)

Subjects
[INFO.INFO-CR]Computer Science [cs]/Cryptography and Security [cs.CR], [INFO.INFO-TS]Computer Science [cs]/Signal and Image Processing, [INFO.INFO-TI] Computer Science [cs]/Image Processing [eess.IV], [INFO.INFO-TS] Computer Science [cs]/Signal and Image Processing, [INFO.INFO-TI]Computer Science [cs]/Image Processing [eess.IV], ComputingMilieux_MISCELLANEOUS, [INFO.INFO-CR] Computer Science [cs]/Cryptography and Security [cs.CR]
Abstract

International audience

Published
2019

43. Genetically Based Combination of Visual Saliency and Roughness for FR 3D Mesh Quality Assessment: A Statistical Study.

Author

Nouri, Anass, Charrier, Christophe, and Lézoray, Olivier

Subjects
*STATISTICAL correlation, *TORSION theory (Algebra), *ALGORITHMS
Abstract

In this paper, we present a full-reference quality assessment metric based on the information of visual saliency. The saliency information is provided under the form of degrees associated to each vertex of the surface mesh. From these degrees, statistical attributes reflecting the structures of the reference and distorted meshes are computed. These are used by four comparisons functions genetically optimized that quantify the structure differences between a reference and a distorted mesh. We also present a statistical comparison study of six full-reference quality assessment metrics for 3D meshes. We compare the objective metrics results with humans subjective scores of quality considering the 3D meshes in one hand and the distorsion types in the other hand. Also, we show which metrics are statistically superior to their counterparts. For these comparisons we use the Spearman Rank Ordered Correlation Coefficient and the hypothetic test of Student (ttest). To attest the pertinence of the proposed approach, a comparison with a ground truth saliency and an application associated to the assessment of the visual rendering of smoothing algorithms are presented. Experimental results show that the proposed metric is very competitive with the state-of-the-art. [ABSTRACT FROM AUTHOR]

Published
2022
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47. On an Empirical Study

Author

Medjahed, Chahreddine, primary, Mezzoudj, Freha, additional, Rahmoun, Abdellatif, additional, and Charrier, Christophe, additional

Published
2020
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49. Performance evaluation of no-reference image quality metrics for face biometric images

Author

Liu, Xinwei, Pedersen, Marius, Charrier, Christophe, Norwegian University of Science and Technology [Trondheim] (NTNU), Norwegian University of Science and Technology (NTNU), Gjøvik University College (GUC), Norwegian University of Science and Technology (NTNU)-Norwegian University of Science and Technology (NTNU), Equipe SAFE - Laboratoire GREYC - UMR6072, Groupe de Recherche en Informatique, Image et Instrumentation de Caen (GREYC), Centre National de la Recherche Scientifique (CNRS)-École Nationale Supérieure d'Ingénieurs de Caen (ENSICAEN), Normandie Université (NU)-Normandie Université (NU)-Université de Caen Normandie (UNICAEN), Normandie Université (NU)-Centre National de la Recherche Scientifique (CNRS)-École Nationale Supérieure d'Ingénieurs de Caen (ENSICAEN), Normandie Université (NU), and Charrier, Christophe

Subjects
[INFO.INFO-CR]Computer Science [cs]/Cryptography and Security [cs.CR], [INFO.INFO-TI] Computer Science [cs]/Image Processing [eess.IV], [INFO.INFO-TI]Computer Science [cs]/Image Processing [eess.IV], ComputingMilieux_MISCELLANEOUS, [INFO.INFO-CR] Computer Science [cs]/Cryptography and Security [cs.CR]
Abstract

International audience

Published
2018

50. Influence des espaces couleurs sur les performances des systèmes de reconnaissance faciale

Author

Liu, Xinwei, Charrier, Christophe, Pedersen, Marius, Bours, Patrick, Charrier, Christophe, Norwegian University of Science and Technology [Trondheim] (NTNU), Norwegian University of Science and Technology (NTNU), Groupe de Recherche en Informatique, Image et Instrumentation de Caen (GREYC), Centre National de la Recherche Scientifique (CNRS)-École Nationale Supérieure d'Ingénieurs de Caen (ENSICAEN), Normandie Université (NU)-Normandie Université (NU)-Université de Caen Normandie (UNICAEN), Normandie Université (NU), Equipe SAFE - Laboratoire GREYC - UMR6072, and Normandie Université (NU)-Centre National de la Recherche Scientifique (CNRS)-École Nationale Supérieure d'Ingénieurs de Caen (ENSICAEN)

Subjects
[INFO.INFO-CR]Computer Science [cs]/Cryptography and Security [cs.CR], [INFO.INFO-TI] Computer Science [cs]/Image Processing [eess.IV], [INFO.INFO-TI]Computer Science [cs]/Image Processing [eess.IV], ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION, [INFO.INFO-CR] Computer Science [cs]/Cryptography and Security [cs.CR]
Abstract

International audience; Color provides important information and features for face recognition. Different color spaces possess different characteristics and are suitable for different applications. In this paper, we propose to investigate how different color space components influence the performance of degraded face recognition. Towards this goal, nine color space components are selected for the evaluation. In addition, four different types of image-based degradations are applied to face image samples in order to discover the impact on the performance of face recognition. The experimental results show that, all selected color components have similar influence to the performance of face recognition system depend on the acquisition devices and the experimental setups.

Published
2018

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