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Recognizing and Locating Polyhedral Objects from Sparse Range Data

Abstract : A model-based approach is described for recognizing and locating polyhedral objects from sparse light-stripe data. Based on two scans, consistent interpretations are provided by locating scanned line segments on the faces of a set of known objects. The transformation associated with each interpretation is estimated. Once all the feasible models are transformed to the scene space, a strategy for additional scanning positions is developed to distinguish the object uniquely.
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Shijia Qiang, Roger Mohr, Karl Tombre. Recognizing and Locating Polyhedral Objects from Sparse Range Data. 9th International Conference on Pattern Recognition (ICPR '88), Nov 1988, Rome, Italy. pp.104--106, ⟨10.1109/ICPR.1988.28182⟩. ⟨inria-00548477⟩



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