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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Communication dans un congrès
9th International Conference on Pattern Recognition (ICPR '88), Nov 1988, Rome, Italy. IEEE, 1, pp.104--106, 1988, 〈http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=28182〉. 〈10.1109/ICPR.1988.28182〉
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Soumis le : lundi 20 décembre 2010 - 08:48:37
Dernière modification le : jeudi 11 janvier 2018 - 06:23:18

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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. IEEE, 1, pp.104--106, 1988, 〈http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=28182〉. 〈10.1109/ICPR.1988.28182〉. 〈inria-00548477〉

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