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Content Provider | IEEE Xplore Digital Library |
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Author | Hilsmann, A. Eisert, P. |
Copyright Year | 2008 |
Description | Author affiliation: Fraunhofer Inst. for Telecommun., Berlin (Hilsmann, A.; Eisert, P.) |
Abstract | In this paper, we present a direct method for deformable surface tracking in monocular image sequences. We use the optical flow constraint instead of working with distinct features. The optical flow field is regularized with a 2-dimensional mesh-based deformation model. The formulation of the deformation model contains weighted smoothing constraints defined locally on topological vertex neighborhoods. 2-dimensional deformation estimation in the presence of self-occlusion is a very challenging problem. Naturally, a 2-dimensional mesh folds in the presence of self-occlusion. We address this problem by weighting the smoothness constraints locally according to the occlusion of a region. Thereby, the mesh is forced to shrink instead of fold in occluded regions. Occlusion estimates are established from shrinking regions in the deformation mesh. Finding the best transformation then amounts to minimizing an error function that can be solved efficiently in a linear least squares sense. |
Starting Page | 1 |
Ending Page | 6 |
File Size | 535711 |
Page Count | 6 |
File Format | |
ISBN | 9781424423392 |
ISSN | 21607508 |
DOI | 10.1109/CVPRW.2008.4563081 |
Language | English |
Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Publisher Date | 2008-06-23 |
Publisher Place | USA |
Access Restriction | Subscribed |
Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Subject Keyword | Deformable models Image motion analysis Image registration Surface reconstruction Biomedical optical imaging Smoothing methods Lighting Image sequences Optical sensors Least squares methods |
Content Type | Text |
Resource Type | Article |
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