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In the Shadows, Shape Priors Shine: Using Occlusion to Improve Multi-region Segmentation
2016
2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)
We present a new algorithm for multi-region segmentation of 2D images with objects that may partially occlude each other. Our algorithm is based on the observation that human performance on this task is based both on prior knowledge about plausible shapes and taking into account the presence of occluding objects whose shape is already known -once an occluded region is identified, the shape prior can be used to guess the shape of the missing part. We capture the former aspect using a deep
doi:10.1109/cvpr.2016.49
dblp:conf/cvpr/KiharaSC16
fatcat:kk6clekwqfhlpjqcqdtwypc64u