• DocumentCode
    457015
  • Title

    Motion Segmentation by Multibody Trifocal Tensor Using Line Correspondence

  • Author

    Zhang, Jing ; Shi, Fanhuai ; Yuncai Liu

  • Author_Institution
    Sch. of Mater. Sci. & Eng., Shanghai Jiao Tong Univ.
  • Volume
    1
  • fYear
    0
  • fDate
    0-0 0
  • Firstpage
    599
  • Lastpage
    602
  • Abstract
    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
  • Keywords
    geometry; image motion analysis; image segmentation; tensors; line correspondence; multibody motion segmentation; multibody trifocal tensor; multibody trilinear constraint; Cameras; Computer vision; Image processing; Layout; Materials science and technology; Motion estimation; Motion segmentation; Pattern recognition; Polynomials; Tensile stress;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Pattern Recognition, 2006. ICPR 2006. 18th International Conference on
  • Conference_Location
    Hong Kong
  • ISSN
    1051-4651
  • Print_ISBN
    0-7695-2521-0
  • Type

    conf

  • DOI
    10.1109/ICPR.2006.816
  • Filename
    1698964