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Titlebook: Computer Vision - ECCV 2004; 8th European Confere Tomáš Pajdla,Jiří Matas Conference proceedings 2004 Springer-Verlag Berlin Heidelberg 200

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Decision Theoretic Modeling of Human Facial Displays be used without modification for facial display learning in any context without prior knowledge of the type of behaviors to be used. We present an experimental paradigm in which we record two humans playing a game, and learn the POMDP model of their behaviours. The learned model correctly predicts
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Kernel Feature Selection with Side Data Using a Spectral Approacheby adding the power of non-linearity to the underlying representations and the choice to emphasize certain kernel-dependent aspects of the data. As an alternative to the use of a kernel we introduce a principled manner for making use of auxiliary data within a spectral approach for handling situati
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3D Human Body Tracking Using Deterministic Temporal Motion Modelsare limited to one single type of motion..We will demonstrate the effectiveness of the proposed approach by using it to fit full-body models to stereo data of people walking and running and whose quality is too low to yield satisfactory results without motion models.
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Shape Matching and Recognition – Using Generative Models and Informative Featureshis problem such as shape contexts [3] and softassign [5]. We test the algorithm on a variety of data sets including MPEG7 CE-Shape-1, Kimia silhouettes, and real images of street scenes. We demonstrate very effective performance and compare our results with existing algorithms. Finally, we briefly
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