2016 IEEE International Conference on Internet of Things (iThings) and IEEE Green Computing and Communications (GreenCom) and I 2016
DOI: 10.1109/ithings-greencom-cpscom-smartdata.2016.168
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Stereo Matching Based on Edge-Aware T-MST

Abstract: Dense stereo matching is one of the most extensively investigated topics in computer vision, since it plays an important role in many applications such as 3D scene reconstruction.In this thesis, a novel dense stereo matching method is proposed based on edgeaware truncated minimum spanning tree (T-MST). Instead of employing non-local cost aggregation on traditional MST which is only generated from color differences of neighbouring pixels, a new tree structure, "Edge-Aware T-MST", is proposed to aggregate the co… Show more

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