Material
1. Feature Point Extraction.
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2. Quotient Function Computation.
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3. Invariant High-Level Reeb Graph.
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4. Application to Mesh Deformation.
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Abstract
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 variance in model pose
and mesh sampling make them good candidates for several applications,
like shape deformation (experimented in this paper), recognition,
compression, indexing, etc.
BibTeX Entry
@InProceedings{tierny063dpvt,
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author |
= "Tierny, Julien and Vandeborre, Jean-Philippe and Daoudi,
Mohamed", |
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title |
= "Invariant {H}igh-{L}evel {R}eeb {G}raphs of 3{D} {P}olygonal
{M}eshes",
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booktitle |
= "3rd IEEE International Symposium on 3D Data Processing,
Visualization and Transmission (3DPVT'06)",
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pages |
= "105-112", |
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year |
= "2006",
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address |
= "Chapel Hill, North Carolina, USA",
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} |
Updated on March 18th, 2007.