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Image processing --- Image databases --- Photographs --- Copyright --- Visual sociology --- Traitement d'images --- Banques d'images --- Photographies --- Droit d'auteur --- Sociologie visuelle --- Digital techniques --- Conservation and restoration --- Interactive multimedia --- Techniques numériques --- Conservation et restauration --- Multimédias interactifs --- Techniques numériques --- Multimédias interactifs

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Motion pictures --- Cinéma --- Sound effects --- Congresses --- Son --- Congrès --- Cinema --- Congresses. --- Congres --- Cinéma --- Congrès --- Art multimédia --- Multimédias interactifs --- Sons --- Arts --- Traitement d'images --- Dans l'art --- Numérisation --- Techniques numériques --- Enregistrement et reproduction --- Art multimédia --- Multimédias interactifs --- Numérisation --- Techniques numériques

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Image processing --- Signal processing --- Traitement d'images --- Traitement du signal --- Digital techniques --- Periodicals --- Techniques numériques --- Périodiques --- Image processing. --- Engineering --- Civil Engineering --- Techniques numériques --- Périodiques --- EBSCOASP-E EBSCOBSP-E EJINGEN EPUB-ALPHA-I EPUB-PER-FT IET-E --- image processing --- image enhancement --- image analysis --- image coding and transmission --- multimedia --- Pictorial data processing --- Picture processing --- Processing, Image --- Imaging systems --- Optical data processing --- Signal processing. --- Information measurement --- Signal theory (Telecommunication) --- Processing, Signal --- Image processing - Periodicals --- Signal processing - Periodicals

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The 2007 IEEE International Workshop on Analysis and Modeling of Faces and Gestures(AMFG)isthethirdworkshopofitstypeorganizedinconjunctionwith ICCV, this time in Rio de Janeiro, Brazil. Our primary goal is to bring together researchersand research groupsto review the status of recognition, analysis and modeling of face, gesture, activity, and behavior; to discuss the challenges that we are facing; and to explore future directions. This year we received 55 submissions. Each paper was reviewed by three program committee members. The whole reviewing process was double blind. However,due to size limit, we were only able to accommodate 22 papers, among which 8 are orals and 14 are posters. The topics covered by these accepted papers include feature representation, 3D face, robust recognition under pose and illumination variations,video-basedface recognition,learning,facial motion analysis, body pose estimation, and sign recognition. A special word of thanks goes to Dr. Feng Zhao, our organizing chair, for his dedication and great e?orts in maintaining both the online submission system and workshop website and in handling most of the author contacts. We are indebted to the advisory committee members for their valuable suggestions and to the program committee members for their hard work and timely reviews. Finally, we thank Cognitec System GmbH and Siemens Corporate Research for their sponsorship. October 2007 S. Kevin Zhou Wen-Yi Zhao Xiaoou Tang Shaogang Gong Organization AMFG 2007 was held in conjunction with ICCV 2007. Workshop Chairs S. Kevin Zhou Siemens Corporate Research Wen-Yi Zhao Intuitive Surgical, Inc.

Optical pattern recognition --- Human face recognition (Computer science) --- Face perception --- Gesture --- Image processing --- Computer software --- Reconnaissance optique des formes (Informatique) --- Reconnaissance des visages (Informatique) --- Perception des visages --- Gestes --- Traitement d'images --- Logiciels --- Congresses. --- Computer simulation --- Digital techniques --- Human factors --- Congrès --- Simulation par ordinateur --- Techniques numériques --- Facteurs humains --- Congresses --- Computer Science --- Electrical Engineering --- Applied Physics --- Engineering & Applied Sciences --- Electrical & Computer Engineering --- Mudra --- Face recognition (Psychology) --- Facial perception --- Facial recognition (Psychology) --- Recognition, Facial (Psychology) --- Computer science. --- Algorithms. --- Artificial intelligence. --- Computer graphics. --- Image processing. --- Pattern recognition. --- Computer Science. --- Pattern Recognition. --- Image Processing and Computer Vision. --- Artificial Intelligence (incl. Robotics). --- Computer Graphics. --- Algorithm Analysis and Problem Complexity. --- Design perception --- Pattern recognition --- Form perception --- Perception --- Figure-ground perception --- Pictorial data processing --- Picture processing --- Processing, Image --- Imaging systems --- Optical data processing --- Automatic drafting --- Graphic data processing --- Graphics, Computer --- Computer art --- Graphic arts --- Electronic data processing --- Engineering graphics --- AI (Artificial intelligence) --- Artificial thinking --- Electronic brains --- Intellectronics --- Intelligence, Artificial --- Intelligent machines --- Machine intelligence --- Thinking, Artificial --- Bionics --- Cognitive science --- Digital computer simulation --- Logic machines --- Machine theory --- Self-organizing systems --- Simulation methods --- Fifth generation computers --- Neural computers --- Algorism --- Algebra --- Arithmetic --- Informatics --- Science --- Foundations --- Optical pattern recognition. --- Computer vision. --- Computer software. --- Artificial Intelligence. --- Software, Computer --- Computer systems --- Machine vision --- Vision, Computer --- Artificial intelligence --- Pattern recognition systems --- Pattern perception --- Perceptrons --- Visual discrimination --- Optical data processing. --- Optical computing --- Visual data processing --- Integrated optics --- Photonics --- Computers --- Optical equipment

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The pixelization paradigm states as a postulate that pixelization methods are rich and are worth exploring as far as possible. In fact, we think that the strength of these methods lies in their simplicity, in their high-density way of information representation property and in their compatibility with neurocognitive processes. • Simplicity, because pixelization belongs to two-dimensional information visualization methods and its main idea is identifying a “pixel” with an informational entity in order to translate a set of informational entities into an image. • High-density way of information representation property, firstly because pixelization representation contains a third dimension—each pixel’s color—and secondly because pixelization is a “compact” (two-dimensional) way of representing information compared with linear one-dimensional representations (Ganascia, p.255) . • Compatibility with neurocognitive processes, firstly because we are thr- dimensional beings and thus we are intrinsically better at grasping one- or two-dimensional data, and secondly because the cerebral cortex is typically a bi-dimensional structure where metaphorically the neurons can be assimilated to “pixels,” whose activity plays the role of color (Lévy, p.3). The pixelization paradigm may be studied along two related directions: pixelization and its implementation and pixelization and cognition. The first direction—pixelization and its implementation—may be divided into two parts: pixelization theory and pixelization application.

Information visualization --- Computer vision --- Image processing --- Cognitive neuroscience --- Visualisation de l'information --- Vision par ordinateur --- Traitement d'images --- Neurosciences cognitives --- Congresses. --- Digital techniques --- Congrès --- Techniques numériques --- Computer Science --- Electrical Engineering --- Applied Physics --- Electrical & Computer Engineering --- Engineering & Applied Sciences --- Computer graphics --- Optical data processing --- Computer science. --- Algorithms. --- Artificial intelligence. --- Computer graphics. --- Image processing. --- Pattern recognition. --- Bioinformatics. --- Computer Science. --- Image Processing and Computer Vision. --- Pattern Recognition. --- Artificial Intelligence (incl. Robotics). --- Computer Graphics. --- Algorithm Analysis and Problem Complexity. --- Computational Biology/Bioinformatics. --- Bio-informatics --- Biological informatics --- Biology --- Information science --- Computational biology --- Systems biology --- Design perception --- Pattern recognition --- Form perception --- Perception --- Figure-ground perception --- Pictorial data processing --- Picture processing --- Processing, Image --- Imaging systems --- Automatic drafting --- Graphic data processing --- Graphics, Computer --- Computer art --- Graphic arts --- Electronic data processing --- Engineering graphics --- AI (Artificial intelligence) --- Artificial thinking --- Electronic brains --- Intellectronics --- Intelligence, Artificial --- Intelligent machines --- Machine intelligence --- Thinking, Artificial --- Bionics --- Cognitive science --- Digital computer simulation --- Logic machines --- Machine theory --- Self-organizing systems --- Simulation methods --- Fifth generation computers --- Neural computers --- Algorism --- Algebra --- Arithmetic --- Informatics --- Science --- Data processing --- Foundations --- Computer vision. --- Optical pattern recognition. --- Computer software. --- Artificial Intelligence. --- Software, Computer --- Computer systems --- Pattern perception --- Perceptrons --- Visual discrimination --- Machine vision --- Vision, Computer --- Artificial intelligence --- Pattern recognition systems --- Optical data processing. --- Optical computing --- Visual data processing --- Integrated optics --- Photonics --- Computers --- Optical equipment