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Many visually-guided robotic systems rely on stereo video data streams to obtain surface models of environmental structure. However stereo video-based 3D pointclouds are noisier than those produced from laser-based scanners and are subject to areas of sparse point information corresponding to textureless or specular surfaces. This complicates the process of constructing polygonal meshes from these point-clouds. This paper develops an approach to meshing for stereo video surface reconstructiondoi:10.1109/crv.2008.53 dblp:conf/crv/GillJ08 fatcat:aflrjenvh5cxndoccntv4zxihi