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Discovering and exploiting 3D symmetries in structure from motion
2012
2012 IEEE Conference on Computer Vision and Pattern Recognition
Many architectural scenes contain symmetric or repeated structures, which can generate erroneous image correspondences during structure from motion (Sfm) computation. Prior work has shown that the detection and removal of these incorrect matches is crucial for accurate and robust recovery of scene structure. In this paper, we point out that these incorrect matches, in fact, provide strong cues to the existence of symmetries and structural regularities in the unknown 3D structure. We make two
doi:10.1109/cvpr.2012.6247841
dblp:conf/cvpr/CohenZSP12
fatcat:uu63i3ozhnezrmeiuahc4wdc2m