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3D Motion Segmentation from Straight-Line Optical Flow

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Multimedia Content Analysis and Mining (MCAM 2007)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 4577))

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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.

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Nicu Sebe Yuncai Liu Yueting Zhuang Thomas S. Huang

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© 2007 Springer Berlin Heidelberg

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Zhang, J., Shi, F., Wang, J., Liu, Y. (2007). 3D Motion Segmentation from Straight-Line Optical Flow. In: Sebe, N., Liu, Y., Zhuang, Y., Huang, T.S. (eds) Multimedia Content Analysis and Mining. MCAM 2007. Lecture Notes in Computer Science, vol 4577. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-73417-8_15

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  • DOI: https://doi.org/10.1007/978-3-540-73417-8_15

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-73416-1

  • Online ISBN: 978-3-540-73417-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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