3D Recognition and Segmentation of Objects in Cluttered Scenes


In this paper we present a novel viewpoint independent range image segmentation and recognition approach. We generate a library of 3D models off-line and represent each model with our tensor-based representation. Tensors represent local surface patches of the models and are indexed by a 4D hash table. During the online phase, a seed point is randomly… (More)
DOI: 10.1109/ACVMOT.2005.2


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