Recovering occlusion boundaries from a single image

Derek Hoiem, Andrew N. Stein, Alexei A. Efros, Martial Hebert

Research output: Contribution to conferencePaperpeer-review


Occlusion reasoning, necessary for tasks such as navigation and object search, is an important aspect of everyday life and a fundamental problem in computer vision. We believe that the amazing ability of humans to reason about occlusions from one image is based on an intrinsically 3D interpretation. In this paper, our goal is to recover the occlusion boundaries and depth ordering of free-standing structures in the scene. Our approach is to learn to identify and label occlusion boundaries using the traditional edge and region cues together with 3D surface and depth cues. Since some of these cues require good spatial support (i.e., a segmentation), we gradually create larger regions and use them to improve inference over the boundaries. Our experiments demonstrate the power of a scene-based approach to occlusion reasoning.

Original languageEnglish (US)
StatePublished - 2007
Externally publishedYes
Event2007 IEEE 11th International Conference on Computer Vision, ICCV - Rio de Janeiro, Brazil
Duration: Oct 14 2007Oct 21 2007


Other2007 IEEE 11th International Conference on Computer Vision, ICCV
CityRio de Janeiro

ASJC Scopus subject areas

  • Software
  • Computer Vision and Pattern Recognition


Dive into the research topics of 'Recovering occlusion boundaries from a single image'. Together they form a unique fingerprint.

Cite this