Mesure de similarité entre sous-parties de nuages de points 2D

Résumé : This communication focuses on the characterisation of a similarity measure between parts of 2D point clouds. This measure is defined thanks to the use of a general knowledge about real point clouds: they share a large amount of one-dimensional structures. These structures can be represented into a unified manner with a new type of primitives; then, we set the link between the existence of common information between parts of point clouds and the geometric relations of their primitives. Thus, we define a similarity measure that is rotationally invariant, and an algorithm to compute it.
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https://hal.archives-ouvertes.fr/hal-01286204
Contributeur : Sébastien Mavromatis <>
Soumis le : jeudi 10 mars 2016 - 14:39:22
Dernière modification le : mercredi 12 septembre 2018 - 01:26:41

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  • HAL Id : hal-01286204, version 1

Citation

Christophe Palmann, Sébastien Mavromatis, Jean Sequeira. Mesure de similarité entre sous-parties de nuages de points 2D. Traitement du Signal, Lavoisier, 2012, 29 (1-2), pp.29--49. 〈hal-01286204〉

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