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Motion Segmentation by Multibody Trifocal Tensor Using Line Correspondence

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3 Author(s)
Jing Zhang ; Sch. of Mater. Sci. & Eng., Shanghai Jiao Tong Univ. ; Fanhuai Shi ; Yuncai Liu

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

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Pattern Recognition, 2006. ICPR 2006. 18th International Conference on  (Volume:1 )

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