Titlebook: Dynamical Vision; ICCV 2005 and ECCV 2 René Vidal,Anders Heyden,Yi Ma Conference proceedings 2007 Springer-Verlag Berlin Heidelberg 2007 3D

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https://doi.org/10.1007/978-3-7091-4484-8rast, we tackle the case of a non-rigid environment observed by a 3D sensor, which has been neglected in the literature. We represent the environment as sets of time-varying 3D points explained by a low-rank shape model, that we derive in its implicit and explicit forms. The parameters of this model

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Dynamical Vision978-3-540-70932-9Series ISSN 0302-9743 Series E-ISSN 1611-3349

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Jan Kanngießer,Mathias Ganspöcktranslations. We also derive an algebraic characterization of the SVD of a multibody fundamental matrix in the case of two or odd number of rigid-body motions with a common rotation. This characterization allows us to project an arbitrary matrix onto the space of multibody fundamental matrices using linear algebraic techniques.

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A Rao-Blackwellized Parts-Constellation Trackerntinuous parameters such as shape. This allows us to maintain multiple hypotheses for the pose of an object without the need to sample in the high-dimensional spaces in which parts-based models live. We present experimental results for a challenging biological tracking task.