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ICIP
2010
IEEE

Monocular Extraction of 2.1D Sketch

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Monocular Extraction of 2.1D Sketch
The 2.1D sketch is a layered representation of occluding and occluded surfaces of the scene. Extracting the 2.1D sketch from a single image is a difficult and important problem arising in many applications. We present a fast and robust algorithm that uses boundaries of image regions and T-junctions, as important visual cues about the scene structure, to estimate the scene layers. The estimation is a quadratic optimization with hinge-loss based constraints, so the 2.1D sketch is smooth in all image areas except on image contours, and image regions forming "stems" of the T-junctions correspond to occluded surfaces in the scene. Quantitative and qualitative results on challenging, real-world images--namely, Stanford depthmap and Berkeley segmentation dataset--demonstrate high accuracy, efficiency, and robustness of our approach.
Mohamed Amer, Raviv Raich, Sinisa Todorovic
Added 12 Feb 2011
Updated 12 Feb 2011
Type Journal
Year 2010
Where ICIP
Authors Mohamed Amer, Raviv Raich, Sinisa Todorovic
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