3D-mesh models: view-based indexing and structural analysis
DELOS'07 Proceedings of the 1st international conference on Digital libraries: research and development
Technical Section: Tiling surfaces with cylinders using n-loops
Computers and Graphics
From 2D silhouettes to 3D object retrieval: contributions and benchmarking
Journal on Image and Video Processing
3D human motion analysis framework for shape similarity and retrieval
Image and Vision Computing
3D human video retrieval: from pose to motion matching
3DOR '13 Proceedings of the Sixth Eurographics Workshop on 3D Object Retrieval
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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 geometrical 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.