3D motion segmentation from straight-line optical flow

Authors:
Jing Zhang;Fanhuai Shi;Jianhua Wang;Yuncai Liu
Affiliations:
Inst. Image Processing and Pattern Recognition, Shanghai Jiao Tong University, Shanghai, P.R. China;School of Materials Science and Engineering, Shanghai Jiao Tong University, Shanghai, P.R. China;Inst. Image Processing and Pattern Recognition, Shanghai Jiao Tong University, Shanghai, P.R. China;Inst. Image Processing and Pattern Recognition, Shanghai Jiao Tong University, Shanghai, P.R. China
Venue:
MCAM'07 Proceedings of the 2007 international conference on Multimedia content analysis and mining
Year:
2007

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Abstract

We present a closed form solution to the problem of segmenting multiple 3D motion models from straight-line optical flow. We introduce the multibody line optical flow constraint(MLOFC), a polynomial equation relating motion models and line parameters. We show that the motion models can be obtained analytically as the derivative of the MLOFC at the corresponding line measurement, without knowing the motion model associated with that line. Experiments on real and synthetic sequences are also presented.