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Invariant High Level Reeb Graphs of 3D Polygonal Meshes

Authors :
Mohamed Daoudi
Julien Tierny
Jean-Philippe Vandeborre
FOX MIIRE (LIFL)
Laboratoire d'Informatique Fondamentale de Lille (LIFL)
Université de Lille, Sciences et Technologies-Institut National de Recherche en Informatique et en Automatique (Inria)-Université de Lille, Sciences Humaines et Sociales-Centre National de la Recherche Scientifique (CNRS)-Université de Lille, Sciences et Technologies-Institut National de Recherche en Informatique et en Automatique (Inria)-Université de Lille, Sciences Humaines et Sociales-Centre National de la Recherche Scientifique (CNRS)
Institut TELECOM/TELECOM Lille1
Institut Mines-Télécom [Paris] (IMT)
Source :
3rd IEEE International Symposium on 3D Data Processing, Visualization and Transmission (3DPVT'06), 3rd IEEE International Symposium on 3D Data Processing, Visualization and Transmission (3DPVT'06), Jun 2006, Chapel Hill, North Carolina, United States, 3DPVT
Publication Year :
2006
Publisher :
HAL CCSD, 2006.

Abstract

International audience; Many applications in computer graphics need high level shape descriptions, in order to benefit from a global understanding of shapes. Topological approaches enable pertinent surface decompositions, providing structural descriptions of 3D polygonal meshes; but in practice, their use raises several difficulties. In this paper, we present a novel method for the construction of invariant high level Reeb graphs, topological entities that give a good overview of the shape structure. With this aim, we propose an accurate and straightforward feature point extraction algorithm for the computation of an invariant and meaningful quotient function. Moreover, we propose a new graph construction algorithm, based on an analysis of the connectivity evolutions of discrete level lines. This algorithm brings a practical solution for the suppression of non-significant critical points over piecewise continuous functions, providing meaningful Reeb graphs. Presented method gives accurate results, with satisfactory execution times and without input parameter. The geo- metrical invariance of resulting graphs and their robustness to variation in model pose and mesh sampling make them good candidates for several applications, like shape deformation (experimented in this paper), recognition, compression, indexing, etc.

Details

Language :
English
Database :
OpenAIRE
Journal :
3rd IEEE International Symposium on 3D Data Processing, Visualization and Transmission (3DPVT'06), 3rd IEEE International Symposium on 3D Data Processing, Visualization and Transmission (3DPVT'06), Jun 2006, Chapel Hill, North Carolina, United States, 3DPVT
Accession number :
edsair.doi.dedup.....4e990ee13378cff858eb5f5336af3758