Technical Section: Geometry-aware domain decomposition for T-spline-based manifold modeling
Computers and Graphics
3D Mesh decomposition using Reeb graphs
Image and Vision Computing
Image segmentation method using thresholds automatically determined from picture contents
Journal on Image and Video Processing
Shape analysis using the auto diffusion function
SGP '09 Proceedings of the Symposium on Geometry Processing
3D-mesh models: view-based indexing and structural analysis
DELOS'07 Proceedings of the 1st international conference on Digital libraries: research and development
Meaningful mesh segmentation guided by the 3D short-cut rule
GMP'08 Proceedings of the 5th international conference on Advances in geometric modeling and processing
Technical Section: Tiling surfaces with cylinders using n-loops
Computers and Graphics
Mesh segmentation and model extraction
Proceedings of the 7th international conference on Curves and Surfaces
SHREC'12 track: 3D mesh segmentation
EG 3DOR'12 Proceedings of the 5th Eurographics conference on 3D Object Retrieval
PRICAI'12 Proceedings of the 12th Pacific Rim international conference on Trends in Artificial Intelligence
A parts-based approach for automatic 3D shape categorization using belief functions
ACM Transactions on Intelligent Systems and Technology (TIST) - Special section on agent communication, trust in multiagent systems, intelligent tutoring and coaching systems
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In this paper, we propose to address the semanticoriented 3D mesh hierarchical segmentation problem, using enhanced topological skeletons [18]. 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 semanticoriented 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 [3]. 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.