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Beyond the Line of Sight: Labeling the Underlying Surfaces
Ruiqi Guo and Derek Hoiem
Department of Computer Science, University of Illinois at Urbana-Champaign, USAguo29@illinois.edu
dhoiem@uiuc.edu
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.
LNCS 7576, p. 761 ff.
lncs@springer.com
© Springer-Verlag Berlin Heidelberg 2012