Occlusion Boundary Detection Using Pseudo-depth

  title={Occlusion Boundary Detection Using Pseudo-depth},
  author={Xuming He and Alan L. Yuille},
We address the problem of detecting occlusion boundaries from motion sequences, which is important for motion segmentation, estimating depth order, and related tasks. Previous work by Stein and Hebert has addressed this problem and obtained good results on a benchmarked dataset using two-dimensional image cues, motion estimation, and a global boundary model [1]. In this paper we describe a method for detecting occlusion boundaries which uses depth cues and local segmentation cues. More… CONTINUE READING
Highly Cited
This paper has 49 citations. REVIEW CITATIONS
33 Citations
30 References
Similar Papers


Publications referenced by this paper.
Showing 1-10 of 30 references

Similar Papers

Loading similar papers…