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Glass object segmentation by label transfer on joint depth and appearance manifolds

Wang, Tao; He, Xuming; Barnes, Nick


We address the glass object localization problem with a RGB-D camera. Our approach uses a nonparametric, data-driven label transfer scheme for local glass boundary estimation. A weighted voting scheme based on a joint feature manifold is adopted to integrate depth and appearance cues, and we learn a distance metric on the depth-encoded feature manifold. Local boundary evidence is then integrated into a MRF framework for spatially coherent glass object detection and segmentation. The efficacy of...[Show more]

CollectionsANU Research Publications
Date published: 2013
Type: Conference paper
Source: 2013 IEEE International Conference on Image Processing, ICIP 2013 - Proceedings
DOI: 10.1109/ICIP.2013.6738606


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