Efficient Joint Segmentation, Occlusion Labeling, Stereo and Flow Estimation

  title={Efficient Joint Segmentation, Occlusion Labeling, Stereo and Flow Estimation},
  author={Koichiro Yamaguchi and David A. McAllester and Raquel Urtasun},
In this paper we propose a slanted plane model for jointly recovering an image segmentation, a dense depth estimate as well as boundary labels (such as occlusion boundaries) from a static scene given two frames of a stereo pair captured from a moving vehicle. Towards this goal we propose a new optimization algorithm for our SLIC-like objective which preserves connecteness of image segments and exploits shape regularization in the form of boundary length. We demonstrate the performance of our… CONTINUE READING
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