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Keywords

Image processing Dominant point Embedded systems Action recognition Non local means Optical flow Genetic algorithm Texture classification Discrete topology Evaluation Mobile robots Motion detection Obstacle avoidance Dynamic texture Action Recognition High Performance Computing Multiscale derivatives Local binary pattern Motion analysis Dense optical flow
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Co-authors

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Number of documents

75

Antoine Manzanera, Professor at ENSTA-ParisTech

Présentation

Je suis Enseignant-Chercheur dans l'équipe de Vision et Robotique de l'Unité d'Informatique et d'Ingénierie des Systèmes (U2IS) d'ENSTA-ParisTech.
Je m'intéresse au Traitement d'Images et à la Vision de bas niveau, du modèle mathématique à l'implantation parallèle sur un système embarqué. Mes travaux se répartissent dans trois domaines principaux :

  • Représentation et Traitement des Images
  • Analyse du mouvement
  • Systèmes de Vision Embarquée

J'enseigne principalement en 2ème et 3ème année du cycle Ingénieur ENSTA, ainsi que dans le Master Imagerie de l'UMPC (Paris 6), et le Master AIC de Paris-Saclay.
Je suis également correspondant Amérique Latine pour les Relations Internationales et chargé des échanges mutualisés ParisTech avec le Brésil depuis 2005.

Repères biographiques

  • 2012 Habilitation à Diriger des Recherches (UPMC-Paris 6)
  • 2001- Enseignant-Chercheur, ENSTA-ParisTech
  • 2000 Thèse de Doctorat, spécialité "Signal et Image" (Télécom-ParisTech)
  • 1994-96 Professeur au Lycée Français d'Asunción, Paraguay
  • 1993 Master d'Informatique Fondamentale (ENS Lyon)
  • 1991 Licence de Mathématiques (Université Claude Bernard, Lyon 1)

Journal articles17 documents

  • Luis Guayacán, Antoine Manzanera, Fabio Martínez. Quantification of Parkinsonian Kinematic Patterns in Body-Segment Regions During Locomotion. Journal of Medical and Biological Engineering, Springer Verlag, 2022, ⟨10.1007/s40846-022-00691-x⟩. ⟨hal-03554297⟩
  • John Archila, Antoine Manzanera, Fabio Martinez. A multimodal Parkinson quantification by fusing eye and gait motion patterns, using covariance descriptors, from non-invasive computer vision. Computer Methods and Programs in Biomedicine, Elsevier, 2022, 215, pp.106607. ⟨10.1016/j.cmpb.2021.106607⟩. ⟨hal-03554254⟩
  • Lucas Ribas, Jarba Joaci de Mesquita Sá Junior, Antoine Manzanera, Odemir Bruno. Learning Graph Representation with Randomized Neural Network for Dynamic Texture Classification. Applied Soft Computing, Elsevier, 2021. ⟨hal-03431533⟩
  • Fabio Martinez Carrillo, Michèle Gouiffès, Gustavo Garzon Villamizar, Antoine Manzanera. A compact and recursive Riemannian motion descriptor for untrimmed activity recognition. Journal of Real-Time Image Processing, Springer Verlag, 2021, ⟨10.1007/s11554-020-01057-9⟩. ⟨hal-03204019⟩
  • Fabio Martínez, Antoine Manzanera, Eduardo Romero. Spatio-temporal multi-scale motion descriptor from a spatially-constrained decomposition for online action recognition. IET Computer Vision, IET, 2017, 11 (7), pp.541 - 549. ⟨10.1049/iet-cvi.2016.0055⟩. ⟨hal-01671878⟩
  • Antoine Manzanera, Thanh Nguyen, Xiaolei Xu. Line and circle detection using dense one-to-one Hough transforms on greyscale images. EURASIP Journal on Image and Video Processing, Springer, 2016, 34, pp.1773 - 1773. ⟨10.1186/s13640-016-0149-y⟩. ⟨hal-01451134⟩
  • Thanh Phuong Nguyen, Ngoc-Son Vu, Antoine Manzanera. Statistical binary patterns for rotational invariant texture classification. Neurocomputing, Elsevier, 2016, ⟨10.1016/j.neucom.2015.09.029⟩. ⟨hal-01245103⟩
  • Thanh Nguyen, Antoine Manzanera, Walter Kropatsch, Xuan Nguyen. Topological Attribute Patterns for Texture Recognition. Pattern Recognition Letters, Elsevier, 2016, 80, pp.91 - 97. ⟨10.1016/j.patrec.2016.06.003⟩. ⟨hal-01451126⟩
  • Asma Kerkeni, Asma Benabdallah, Antoine Manzanera, Mohamed Bedoui. A coronary artery segmentation method based on multiscale analysis and region growing. Computerized Medical Imaging and Graphics, Elsevier, 2016, 48, pp.49 - 61. ⟨10.1016/j.compmedimag.2015.12.004⟩. ⟨hal-01671874⟩
  • Marcos William da Silva Oliveira, Núbia Rosa da Silva, Antoine Manzanera, Odemir Martinez Bruno. Feature Extraction on Local Jet Space for Texture Classification. Physica A: Statistical Mechanics and its Applications, Elsevier, 2015, ⟨10.1016/j.physa.2015.06.046⟩. ⟨hal-01245094⟩
  • Fabio Martínez, Antoine Manzanera, Eduardo Romero. Automatic analysis and characterization of the hummingbird wings motion using dense optical flow features. Bioinspiration and Biomimetics, IOP Publishing, 2015, ⟨10.1088/1748-3190/10/1/016006⟩. ⟨hal-01245084⟩
  • Thanh Phuong Nguyen, Antoine Manzanera, Matthieu Garrigues, Ngoc-Son Vu. Spatial motion patterns: action models from semi-dense trajectories. International Journal of Pattern Recognition and Artificial Intelligence, World Scientific Publishing, 2014, 28 (07), pp.1460011. ⟨10.1142/S0218001414600118⟩. ⟨hal-01118257⟩
  • Matthieu Garrigues, Antoine Manzanera, Bernard Thierry. Video Extruder: a semi-dense point tracker for extracting beam of trajectories in real time. Journal of Real-Time Image Processing, Springer Verlag, 2014, pp.12. ⟨10.1007/s11554-014-0415-0⟩. ⟨hal-00868920⟩
  • Renaud Barate, Antoine Manzanera. Evolution of visual controllers for obstacle avoidance in mobile robotics. Evolutionary Intelligence, 2009, 2 (3), pp.85-102. ⟨10.1007/s12065-009-0021-4⟩. ⟨hal-01130998⟩
  • Lionel Lacassagne, Antoine Manzanera, Julien Denoulet, Alain Mérigot. High performance motion detection: some trends toward new embedded architectures for vision systems. Journal of Real-Time Image Processing, Springer Verlag, 2009, 4 (2), pp.127-146. ⟨10.1007/s11554-008-0096-7⟩. ⟨hal-01131002⟩
  • Antoine Manzanera, Julien Richefeu. A new motion detection algorithm based on Sigma-Delta background estimation. Pattern Recognition Letters, Elsevier, 2007, 28 (3), ⟨10.1016/j.patrec.2006.04.007⟩. ⟨hal-01222650⟩
  • Antoine Manzanera, T.M. Bernard, Francoise Preteux, B. Longuet. n-dimensional skeletonization: a unified mathematical framework. Journal of Electronic Imaging, SPIE and IS&T, 2002, 11 (1), pp.25-37. ⟨hal-00272189⟩

Conference papers52 documents

  • Daniela Pamplona, Antoine Manzanera. Naturally Constrained Online Expectation Maximization. International Conference on Pattern Recognition (ICPR 2020), Jan 2021, Milan, Italy. ⟨hal-03012909⟩
  • Lucas Ribas, Antoine Manzanera, Odemir Bruno. A Fractal-Based Approach to Network Characterization Applied to Texture Analysis. Computer Analysis of Images and Patterns, Sep 2019, Salerno, Italy. ⟨hal-02482478⟩
  • Sylvain Bertrand, Julien Marzat, Cristina Stoica Maniu, Maria Makarov, David Filliat, et al.. DroMOOC: a Massive Open Online Course on Drones and Aerial Multi Robot Systems. 2018 UKACC 12th International Conference on Control (CONTROL), Sep 2018, Sheffield, United Kingdom. ⟨10.1109/control.2018.8516765⟩. ⟨hal-01907122⟩
  • Louise Sarrabezolles, Antoine Manzanera, Nicolas Hueber. Bio-inspired Perception Sensor (BIPS) Concept Analysis for Embedded Applications. The 23rd Iberoamerican Congress on Pattern Recognition (CIARP 2018), Nov 2018, Madrid, Spain. ⟨hal-01993675⟩
  • Clément Pinard, Laure Chevalley, Antoine Manzanera, David Filliat. Learning structure-from-motion from motion. ECCV GMDL Workshop, Sep 2018, Munich, Germany. ⟨hal-01995833⟩
  • Matthieu Garrigues, Antoine Manzanera. Fast Semi Dense Epipolar Flow Estimation. Applications of Computer Vision (WACV), 2017 IEEE Winter Conference on, 2017, Santa Rosa, CA, United States. ⟨hal-01671890⟩
  • Clément Pinard, Laure Chevalley, Antoine Manzanera, David Filliat. End-to-end depth from motion with stabilized monocular videos. International Conference on Unmanned Aerial Vehicles in Geomatics, Sep 2017, Bonn, Germany. pp.67-74, ⟨10.5194/isprs-annals-IV-2-W3-67-2017⟩. ⟨hal-01587652⟩
  • Clément Pinard, Laure Chevalley, Antoine Manzanera, David Filliat. Multi range Real-time depth inference from a monocular stabilized footage using a Fully Convolutional Neural Network. European Conference on Mobile Robotics, ENSTA ParisTech, Sep 2017, Paris, France. ⟨hal-01587658⟩
  • Antoine Tran, Antoine Manzanera. Mixing Hough and Color Histogram Models for Accurate Real-Time Object Tracking. Computer Analysis of Images and Patterns (CAIP), 2017, Ystad, Sweden. ⟨hal-01671906⟩
  • Louise Sarrabezolles, Antoine Manzanera, Nicolas Hueber, Maxime Perrot, Pierre Raymond. Dual field combination for unmanned video surveillance. SPIE Defense and Commercial Sensing, Apr 2017, Anaheim, United States. ⟨10.1117/12.2262696⟩. ⟨hal-01603010⟩
  • Fabio Martínez, Antoine Manzanera, Michèle Gouiffes, Thanh Phuong Nguyen. Action-centric Polar Representation of Motion Trajectories for Online Action Recognition. International Conference on Computer Vision Theory and Applications (VISAPP), 2016, Roma, Italy. ⟨10.5220/0005730404420448⟩. ⟨hal-01671916⟩
  • Antoine Tran, Antoine Manzanera. Fast growing hough forest as a stable model for object detection. The sixth International Conference on Image Processing Theory, Tools and Applications (IPTA'16), 2016, Oulu, Finland. pp.1 - 6, ⟨10.1109/IPTA.2016.7820960⟩. ⟨hal-01451140⟩
  • Thanh Phuong Nguyen, Antoine Manzanera. Noise Tolerant Descriptor for Texture Classification. International Conference on Image Processing Theory, Tools and Applications IPTA'15, Nov 2015, Orléans, France. ⟨hal-01245115⟩
  • Antoine Tran, Antoine Manzanera. A versatile object tracking algorithm combining Particle Filter and Generalised Hough Transform. International Conference on Image Processing Theory, Tools and Applications IPTA'15, Nov 2015, Orléans, France. ⟨hal-01245118⟩
  • Antoine Manzanera, Thanh Phuong Nguyen. Transformées de Hough denses : un cadre efficace et générique pour la reconnaissance de formes paramétrées. Traitement et Analyse de l'Information : Méthodes et Applications TAIMA'15, May 2015, Hammamet, Tunisie. ⟨hal-01245133⟩
  • Fabio Martínez, Antoine Manzanera, Michèle Gouiffès, Annelies Braffort. A Gaussian mixture representation of gesture kinematics for on-line Sign Language video annotation. International Symposium on Visual Computing ISVC'15, Dec 2015, Las Vegas, United States. ⟨hal-01245123⟩
  • Thanh Phuong Nguyen, Antoine Manzanera, Walter G. Kropatsch. Impact of topology-related attributes from Local Binary Patterns on texture classification. ECCV Workshop on Computer Vision with Local Binary Patterns Variants, Sep 2014, Zürich, Switzerland. ⟨hal-01118009⟩
  • Matthieu Garrigues, Antoine Manzanera. Video++, a Modern Image and Video Processing C++ Framework. Conference on Design & Architectures for Signal & Image Processing, Oct 2014, Madrid, Spain. ⟨hal-01118295⟩
  • Thanh Phuong Nguyen, Antoine Manzanera. Incorporating two first order moments into LBP-based operator for texture categorization. ACCV Workshop: Robust local descriptors for computer vision, Nov 2014, Singapour, Singapore. ⟨hal-01118284⟩
  • Fabio Martínez, Antoine Manzanera, Eduardo Romero. Representing activities with layers of velocity statistics for multiple human action recognition in surveillance applications. IS&T/SPIE Electronic Imaging, Feb 2014, San Francisco, United States. ⟨hal-01118287⟩
  • Thanh Phuong Nguyen, Antoine Manzanera. Action recognition using bag of features extracted from a beam of trajectories. IEEE International Conference on Image Processing (ICIP), Sep 2013, melbourne, Australia. pp.4354 - 4357, ⟨10.1109/ICIP.2013.6738897⟩. ⟨hal-01118263⟩
  • Thanh Phuong Nguyen, Antoine Manzanera, Matthieu Garrigues. Motion Trend Patterns for Action Modelling and Recognition. Computer Analysis of Images and Patterns (CAIP), Aug 2013, York, United Kingdom. pp.360 - 367, ⟨10.1007/978-3-642-40261-6_43⟩. ⟨hal-01118278⟩
  • Thanh Phuong Nguyen, Antoine Manzanera, Ngoc-Son Vu, Matthieu Garrigues. Revisiting LBP-Based Texture Models for Human Action Recognition. Iberoamerican Congress on Pattern Recognition (CIARP), Nov 2013, La Havane, Cuba. pp.286 - 293, ⟨10.1007/978-3-642-41827-3_36⟩. ⟨hal-01118271⟩
  • Matthieu Garrigues, Antoine Manzanera. Real Time Semi-dense Point Tracking. ICIAR, 2012, Aveiro, Portugal. pp.245 - 252, ⟨10.1007/978-3-642-31295-3_29⟩. ⟨hal-01118324⟩
  • Fabio Martinez, Antoine Manzanera, Eduardo Romero. Analysing the hovering flight of the hummingbird using statistics of the optical flow field. ICPR workshop on Visual observation and analysis of animal and insect behavior, Nov 2012, Tsukuba, Japan. ⟨hal-01119646⟩
  • Antoine Manzanera. Dense Hough transforms on gray level images using multi-scale derivatives. SIXIEME WORKSHOP AMINA 2012 "Applications Médicales de l'Informatique : Nouvelles Approches", Dec 2012, Mahdia, Tunisia. ⟨hal-01119654⟩
  • Dominique Florins, Antoine Manzanera. Detection of floating mines in infrared sequences by multiscale geometric filtering. SPIE Conference in Defence Security and Sensing: Detection and Sensing of Mines, Explosive Objects, and Obscured Targets XVII, Apr 2012, Baltimore, United States. ⟨10.1117/12.918420⟩. ⟨hal-01119659⟩
  • Matthieu Garrigues, Antoine Manzanera. Exact and Approximate Median Splitting on Distributed Memory Machines. PDPTA, 2012, Las Vegas, United States. ⟨hal-01118331⟩
  • Fabio Martínez, Antoine Manzanera, Eduardo Romero. A Motion Descriptor Based on Statistics of Optical Flow Orientations for Action Classification in Video-Surveillance. Int. Conf. on Multimedia and Signal Processing (CMSP'12), Dec 2012, Shanghai, China. pp.267 - 274, ⟨10.1007/978-3-642-35286-7_34⟩. ⟨hal-01119640⟩
  • Fabio Martínez, Antoine Manzanera, Cristina Santa Marta, Eduardo Romero. Characterization of motion cardiac patterns in magnetic resonance cine. IEEE International Conference on Image Information Processing, Nov 2011, Shimla, India. pp.1 - 5, ⟨10.1109/ICIIP.2011.6108837⟩. ⟨hal-01119674⟩
  • Antoine Manzanera. Local Jet Feature Space Framework for Image Processing and Representation. The 7th International Conference on SIGNAL IMAGE TECHNOLOGY & INTERNET BASED SYSTEMS, Nov 2011, Dijon, France. ⟨10.1109/SITIS.2011.49⟩. ⟨hal-01119682⟩
  • Toby Low, Antoine Manzanera. Classification of Traversable Surfaces for Navigation Combining Multiple Cues Toward a Visual-Based Learning System. International Conference on Control, Automation, Robotics and Vision, (ICARCV), Dec 2010, Singapour, Singapore. ⟨hal-01130908⟩
  • Antoine Manzanera. Local Jet Based Similarity for NL-Means Filtering. International Conference on Pattern Recognition (ICPR), Aug 2010, Istamboul, Turkey. ⟨10.1109/ICPR.2010.654⟩. ⟨hal-01130884⟩
  • Lorenza Henao, Antoine Manzanera, Eduardo Romero. Extracción y Seguimiento de los Miembros Inferiores sin Marcadores. International Seminar on Medical Image Processing and Analysis, Dec 2010, Bogotá, Colombia. ⟨hal-01130876⟩
  • Lionel Lacassagne, Antoine Manzanera, Antoine Dupret. Motion detection: Fast and robust algorithms for embedded systems. International Conference on Image Processing (ICIP), Nov 2009, Le Caire, Egypt. ⟨10.1109/ICIP.2009.5413946⟩. ⟨hal-01130889⟩
  • Philippe Guermeur, Antoine Manzanera. Image Characterization from Statistical Reduction of Local Patterns. Iberoamerican Congress on Pattern Recognition, Nov 2009, Guadalajara, Mexico. ⟨hal-01130930⟩
  • Christine Dubreu, Antoine Manzanera, Eric Bohain. Non photorealistic simulation of video sequences for an accurate evaluation of tracking algorithms on complex scenes. Proceedings of SPIE - Acquisition, Tracking, Pointing, and Laser Systems Technologies XXII, May 2008, Orlando, United States. ⟨10.1117/12.784262⟩. ⟨hal-01222640⟩
  • Renaud Barate, Antoine Manzanera. Evolving Vision Controllers with a Two-Phase Genetic Programming System Using Imitation. 10th International Conference on the Simulation of Adaptive Behavior (SAB'08), Jul 2008, Osaka, Japan. ⟨10.1007/978-3-540-69134-1_8⟩. ⟨hal-01222604⟩
  • Philippe Guermeur, Petr Dokládal, Eva Dokladalova, Antoine Manzanera. FPGA lab sessions in a general-purpose image processing course. 2nd International Workshop on Reconfigurable Computing Education, 2007, France. 10pp. ⟨hal-00622533⟩
  • Renaud Barate, Antoine Manzanera. Automatic Design of Vision-Based Obstacle Avoidance Controllers Using Genetic Programming. 8th International Conference on Artificial Evolution (EA'07), Oct 2007, Tours, France. ⟨10.1007/978-3-540-79305-2_3⟩. ⟨hal-01222652⟩
  • Christine Dubreu, Antoine Manzanera, Eric Bohain. Comprehensive evaluation of tracking systems by non-photorealistic simulation. Proceedings of SPIE - Acquisition, Tracking, Pointing, and Laser Systems Technologies XXI, May 2007, Orlando, United States. ⟨10.1117/12.720821⟩. ⟨hal-01222654⟩
  • Taha Ridene, Antoine Manzanera. Mécanismes d'Attention Visuelle sur Rétine Programmable. Traitement et Analyse de l'Information : Méthodes et Applications (TAIMA'07), May 2007, Hammamet, Tunisia. ⟨hal-01222659⟩
  • Olivier Vermeulen, Antoine Manzanera, Lionel Lacassagne. Ultra Fast Grey Scale Face Detection Using Vector SIMD Programming. 3rd International Conference on Signal-Image Technology and Internet-based Systems (SITIS'07), Dec 2007, Shanghai, China. ⟨10.1109/SITIS.2007.142⟩. ⟨hal-01222664⟩
  • Antoine Manzanera, Julien Richefeu. A robust and computationally efficient motion detection algorithm based on sigma-delta background estimation. Indian Conference on Computer Vision, Graphics and Image Processing (ICVGIP'04), Dec 2004, Kolkata, India. ⟨hal-01222695⟩
  • Julien Richefeu, Antoine Manzanera. A NEW HYBRID DIFFERENTIAL FILTER FOR MOTION DETECTION. International Conference on Computer Vision and Graphics (ICCVG'04), Sep 2004, Varsovie, Poland. ⟨10.1007/1-4020-4179-9_105⟩. ⟨hal-01222690⟩
  • Antoine Manzanera, Thierry Bernard. Metrical properties of a collection of 2D parallel thinning algorithms. International Workshop on Combinatorial Image Analysis (IWCIA'03), May 2003, Palerme, Italy. ⟨10.1016/S1571-0653(04)00491-3⟩. ⟨hal-01222698⟩
  • Julien Richefeu, Antoine Manzanera. A MORPHOLOGICAL DOMINANT POINTS DETECTION AND ITS CELLULAR IMPLEMENTATION. International Symposium on Signal Processing and its Applications (ISSPA'03), Jul 2003, Paris, France. ⟨10.1109/ISSPA.2003.1224845⟩. ⟨hal-01222697⟩
  • Antoine Manzanera. Morphological segmentation on the programmable retina: towards mixed synchronous/asynchronous algorithms.. 6th International Symposium on Mathematical Morphology (ISMM'02), Apr 2002, Sydney, Australia. ⟨10.1.1.114.3040⟩. ⟨hal-01222701⟩
  • Antoine Manzanera, Francoise Preteux, T. Bernard. Markovian modeling on programmable retina. Conference on Contrôle Quality by Artificial Vision (QCAV'01), May 2001, Le Creusot, France. pp.232-237. ⟨hal-00271830⟩
  • Antoine Manzanera, Thierry Bernard, Françoise Prêteux, Bernard Longuet. Medial faces from a concise 3D thinning algorithm. International Conference on Computer Vision, Sep 1999, Corfou, Greece. ⟨10.1109/ICCV.1999.791239⟩. ⟨hal-01245449⟩
  • Antoine Manzanera, Thierry Bernard, Françoise Prêteux, Bernard Longuet. Unified mathematical framework for a compact and fully parallel n-D skeletonization procedure. Vision Geometry, Jul 1999, Denver, United States. ⟨10.1117/12.364113⟩. ⟨hal-01245457⟩
  • Thierry Bernard, Antoine Manzanera. Improved low complexity fully parallel thinning algorithm. International Conference on Image Analysis and Processing (ICIAP'99), Sep 1999, Venise, Italy. pp.215 - 220, ⟨10.1109/ICIAP.1999.797597⟩. ⟨hal-01245400⟩

Poster communications1 document

  • Sylvain Bertrand, Julien Marzat, Cristina Stoica Maniu, Maria Makarov, David Filliat, et al.. DroMOOC. 4ème Journée Initiatives Pédagogiques de l’Université Paris-Saclay, Nov 2018, Gif-sur-Yvette, France. ⟨hal-02275303⟩

Book sections1 document

  • Gloria Díaz, Antoine Manzanera. Automatic Analysis of Microscopic Images in Hematological Cytology Applications. Fabio A. González; Eduardo Romero. Biomedical Image Analysis and Machine Learning Technologies: Applications and Techniques, 2009, 978-1605669564. ⟨10.4018/978-1-60566-956-4.ch008⟩. ⟨hal-01131027⟩

Reports3 documents

  • Antoine Manzanera. OBJECT MODELLING, DETECTION AND LOCALISATION IN MOBILE VIDEO: A STATE-OF-THE-ART. [Research Report] ENSTA ParisTech; ITEA2. 2011. ⟨hal-01119691⟩
  • Antoine Manzanera. Image representation and processing through multiscale local jet features. [Research Report] ENSTA ParisTech. 2010. ⟨hal-01130881⟩
  • Antoine Manzanera, Thierry Bernard. MB: a coherent collection of 2D parallel thinning algorithms. [Research Report] ENSTA ParisTech. 2002. ⟨hal-01222700⟩

Habilitation à diriger des recherches1 document

  • Antoine Manzanera. En mouvement, du modèle à la puce : Pour des systèmes de vision polyvalents et performants.. Vision par ordinateur et reconnaissance de formes [cs.CV]. Université Pierre et Marie Curie (Paris 6), 2012. ⟨tel-01119665⟩