Material
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Pre-segmentation graph.
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1st level of hierarchy.
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2nd level of hierarchy.
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Last level of hierarchy.
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Abstract
In this paper, we propose to address the semantic-oriented 3D mesh
hierarchical segmentation problem, using enhanced topological skeletons.
This high level information drives both the feature boundary computation
as well as the feature hierarchy definition. Proposed hierarchical
scheme is based on the key idea that the topology of a feature is a more
important decomposition criterion than its geometry.
First, the enhanced topological skeleton of the input triangulated
surface is constructed. Then it is used to delimit the core of the
object and to identify junction areas. This second step results in a
fine segmentation of the object. Finally, a fine to coarse strategy
enables a semantic-oriented hierarchical composition of features,
subdividing human limbs into arms and hands for example.
Method performance is evaluated according to seven criteria enumerated
in latest segmentation surveys. Thanks to the high level description it
uses as an input, presented approach results, with low computation
times, in robust and meaningful compatible hierarchical decompositions.
BibTeX Entry
@InProceedings{tierny07smi,
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author |
= "Tierny, Julien and Vandeborre, Jean-Philippe and Daoudi,
Mohamed", |
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title |
= "Topology driven 3{D} mesh hierarchical segmentation",
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booktitle |
= "IEEE International Conference on Shape Modeling and
Applications (SMI 2007)",
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pages |
= "215-220",
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year |
= "2007",
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address |
= "Lyon, France",
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| } |
Updated on March 21st, 2007.
