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Motion Segmentation by Multibody Trifocal Tensor Using Line Correspondence
Hong Kong August 20-August 24
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/ICPR.2006.81618th International Conference on Patt ...
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Jing Zhang, Image Processing and Pattern Recognition Institute
Fanhuai Shi, Shanghai Jiao Tong University, China
Yuncai Liu, Image Processing and Pattern Recognition Institute
We present a geometric approach to multibody motion segmentation from line correspondences. Given three perspective views containing multiple moving objects, we demonstrate that after applying a polynomial embedding to the line correspondences, they became related by the so-called multibody trilinear constrain and its associated multibody trifocal tensor. We show how to obtain the individual trifocal tensor from the second order derivatives of the multibody trilinear constraint. Given trifocal tensors, we obtain the clustering of the motions and correspondences. Experimental results on synthetic and real dynamic scenes are presented.
Citation:
Jing Zhang, Fanhuai Shi, Yuncai Liu, "Motion Segmentation by Multibody Trifocal Tensor Using Line Correspondence," icpr, vol. 1, pp.599-602, 18th International Conference on Pattern Recognition (ICPR'06) Volume 1, 2006
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