NDLI: A factorization method in stereo motion for non-rigid objects

Content Provider	IEEE Xplore Digital Library
Author	Yu Huang Jilin Tu Huang, T.S.
Copyright Year	2008
Description	Author affiliation: Thomson Corp. Res. at Princeton, Illinois Univ., Princeton, IL (Yu Huang; Jilin Tu; Huang, T.S.)
Abstract	In this paper we propose a framework of factorization-based non-rigid shape modeling and tracking in stereo-motion. We construct a measurement matrix with the stereo-motion data captured from a stereo-rig. Organized in a particular way this matrix could be decomposed by singular value decomposition (SVD) into the 3D basis shapes, their configuration weights, rigid motion and camera geometry. Accordingly, the stereo correspondences can be inferred from motion correspondences only requiring that a minimum of 3K point stereo correspondences (where K is the dimension of shape basis space) are created in advance. Basically this framework still keeps the property of rank constraints, meanwhile it owns other advantages such as simpler correspondence and accurate reconstruction even with short image sequences. Results with real data are given to demonstrate its performance.
Starting Page	1065
Ending Page	1068
File Size	279168
Page Count	4
File Format	PDF
ISBN	9781424414833
ISSN	15206149
DOI	10.1109/ICASSP.2008.4517797
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2008-03-31
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Stereo vision Matrix decomposition Shape measurement Image reconstruction Layout Singular value decomposition Geometry Motion measurement Tracking Cameras Stereo Vision Visual Tracking
Content Type	Text
Resource Type	Article

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A FACTORIZATION METHOD IN STEREO MOTION FOR NON-RIGID OBJECTS

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