Beyond the line of sight: labeling the underlying surfaces

Authors:
Ruiqi Guo;Derek Hoiem
Affiliations:
Department of Computer Science, University of Illinois at Urbana-Champaign;Department of Computer Science, University of Illinois at Urbana-Champaign
Venue:
ECCV'12 Proceedings of the 12th European conference on Computer Vision - Volume Part V
Year:
2012

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Abstract

Scene understanding requires reasoning about both what we can see and what is occluded. We offer a simple and general approach to infer labels of occluded background regions. Our approach incorporates estimates of visible surrounding background, detected objects, and shape priors from transferred training regions. We demonstrate the ability to infer the labels of occluded background regions in both the outdoor StreetScenes dataset and an indoor scene dataset using the same approach. Our experiments show that our method outperforms competent baselines.