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CAD mesh model segmentation by clustering
- Source :
- Computers & Graphics. 35:685-691
- Publication Year :
- 2011
- Publisher :
- Elsevier BV, 2011.
-
Abstract
- CAD mesh models have been widely employed in current CAD/CAM systems, where it is quite useful to recognize the features of the CAD mesh models. The first step of feature recognition is to segment the CAD mesh model into meaningful parts. Although there are lots of mesh segmentation methods in literature, the majority of them are not suitable to CAD mesh models. In this paper, we design a mesh segmentation method based on clustering, dedicated to the CAD mesh model. Specifically, by the agglomerative clustering method, the given CAD mesh model is first clustered into the sparse and dense triangle regions. Furthermore, the sparse triangle region is separated into planar regions, cylindrical regions, and conical regions by the Gauss map of the triangular faces and Hough transformation; the dense triangle region is also segmented by the mean shift operation performed on the mean curvature field defined on the mesh faces. Lots of empirical results demonstrate the effectiveness and efficiency of the CAD mesh segmentation method in this paper.
- Subjects :
- Computer science
business.industry
General Engineering
Feature recognition
CAD
Computer Graphics and Computer-Aided Design
Mathematics::Numerical Analysis
Hough transform
law.invention
Hierarchical clustering
Computer Science::Robotics
Human-Computer Interaction
Computer Science::Graphics
law
Computer vision
Segmentation
Mean-shift
Artificial intelligence
Laplacian smoothing
Cluster analysis
business
ComputingMethodologies_COMPUTERGRAPHICS
Subjects
Details
- ISSN :
- 00978493
- Volume :
- 35
- Database :
- OpenAIRE
- Journal :
- Computers & Graphics
- Accession number :
- edsair.doi...........b5ad0cbc533b0222278d3bfc40e81d99