Orbit and Sinus Classification Based on Force Histogram Computation

Pascal Matsakis Laurent Wendling 1
1 ISA - Models, algorithms and geometry for computer graphics and vision
INRIA Lorraine, LORIA - Laboratoire Lorrain de Recherche en Informatique et ses Applications
Abstract : In a previous work, we defined a new approach to evaluating directional relations between objects (such as ``is to the right of'', ``is above''...). The approach is based on the c omputation of a histogram of forces. We show in the present paper that the notion of the histogram of forces ca n also be useful in pattern recognition. The aim of this study is to classify orbits and sinuses. Using force histograms instead of geometrical criteria (like compactness or degree of ellipticity) allows more accurate classification to be produced. Moreover, the proposed approach is low computing ti me.
Type de document :
Communication dans un congrès
International Conference of Pattern Recognition - ICPR 2000, Sep 2000, none, 2000
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https://hal.inria.fr/inria-00099368
Contributeur : Publications Loria <>
Soumis le : mardi 26 septembre 2006 - 08:53:21
Dernière modification le : jeudi 11 janvier 2018 - 06:19:48

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  • HAL Id : inria-00099368, version 1

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Pascal Matsakis, Laurent Wendling. Orbit and Sinus Classification Based on Force Histogram Computation. International Conference of Pattern Recognition - ICPR 2000, Sep 2000, none, 2000. 〈inria-00099368〉

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