Motion Segmentation by Exploiting Complementary Geometric Models

@article{Xu2018MotionSB,
  title={Motion Segmentation by Exploiting Complementary Geometric Models},
  author={X. Xu and L. Cheong and Zhuwen Li},
  journal={2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition},
  year={2018},
  pages={2859-2867}
}
  • X. Xu, L. Cheong, Zhuwen Li
  • Published 2018
  • Computer Science
  • 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition
Many real-world sequences cannot be conveniently categorized as general or degenerate; in such cases, imposing a false dichotomy in using the fundamental matrix or homography model for motion segmentation would lead to difficulty. Even when we are confronted with a general scene-motion, the fundamental matrix approach as a model for motion segmentation still suffers from several defects, which we discuss in this paper. The full potential of the fundamental matrix approach could only be realized… Expand
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