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We propose a multiview tracking method for rigid objects. Assuming that a part of the object is visible in at least two cameras, a partial 3D model is reconstructed in terms of a collection of small 3D planar patches of arbitrary topology. The 3D representation, recovered fully automatically, allows to formulate tracking as gradient minimization in pose (translation, rotation) space. As the object moves, the 3D model is incrementally updated. A virtuous circle emerges: tracking enablesdoi:10.1109/3dpvt.2006.101 dblp:conf/3dpvt/ZimmermannSM06 fatcat:nlfs2viglfgh5b3x2l7tcphxtu