View Point Tracking of Rigid Objects based on Shape Sub-Manifolds

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View Point Tracking of Rigid Objects based on Shape Sub-Manifolds

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Publication Article, peer reviewed scientific
Title View Point Tracking of Rigid Objects based on Shape Sub-Manifolds
Author(s) Ghosh, Christian ; Fundana, Ketut ; Heyden, Anders ; Schnörr, Christoph
Date 2008-10
English abstract
We study the task to infer and to track the viewpoint onto a 3D rigid object by observing its image contours in a sequence of images. To this end, we consider the manifold of invariant planar contours and learn the low-dimensional submanifold corresponding to the object contours by observing the object off-line from a number of different viewpoints. This submanifold of object contours can be parametrized by the view sphere and, in turn, be used for keeping track of the object orientation relative to the observer, through interpolating samples on the submanifold in a geometrically proper way. Our approach replaces explicit 3D object models by the corresponding invariant shape submanifolds that are learnt from a sufficiently large number of image contours, and is applicable to arbitrary objects.
Publisher Springer Verlag
Host/Issue Springer Lecture Notes in Computer Science;5304
Volume III
ISSN 0302-9743
Pages 251-263
Language eng (iso)
Subject(s) image segmentation
shape manifolds
Technology
Research Subject Categories::TECHNOLOGY::Information technology::Computer science
Research Subject Categories::MATHEMATICS::Applied mathematics
Handle http://hdl.handle.net/2043/7395 (link to this page)

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