Automatic Object Modelization in Computer Vision

Patrick Gros 1, 2 Roger Mohr 1, 2
1 MOVI - Modeling, localization, recognition and interpretation in computer vision
GRAVIR - IMAG - Graphisme, Vision et Robotique, Inria Grenoble - Rhône-Alpes, CNRS - Centre National de la Recherche Scientifique : FR71
Abstract : In this paper, we present a general frame for an algorithm of automatic modelization. Built models are learned from examples; they consist mainly in contour feature structure with geometrical descriptors and reliability information. The two first stages of this algorithm are especially studied and experimental results are shown. These stages are the matching of two input images and the clustering of a set of images into a model group.
Type de document :
Communication dans un congrès
H. Bunke. the International Workshop on Structural and Syntactic Pattern Recognition, Aug 1992, Bern, Switzerland. World Scientific, 5, pp.385--400, 1992, Series in Machine Perception and Artificial Intelligence. 〈http://eproceedings.worldscinet.com/9789812797919/9789812797919_0032.html〉. 〈10.1142/9789812797919_0032〉
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Soumis le : lundi 20 décembre 2010 - 08:44:51
Dernière modification le : mercredi 11 avril 2018 - 01:54:44

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Patrick Gros, Roger Mohr. Automatic Object Modelization in Computer Vision. H. Bunke. the International Workshop on Structural and Syntactic Pattern Recognition, Aug 1992, Bern, Switzerland. World Scientific, 5, pp.385--400, 1992, Series in Machine Perception and Artificial Intelligence. 〈http://eproceedings.worldscinet.com/9789812797919/9789812797919_0032.html〉. 〈10.1142/9789812797919_0032〉. 〈inria-00548440〉

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