DocumentCode :
3325808
Title :
Shape-preserving mesh decimation within a graph-theoretic framework
Author :
Jagannathan, A. ; Miller, E.L.
Author_Institution :
Center for Sub-surface Sensing & Imaging Syst., Northeastern Univ., Boston, MA
fYear :
2005
fDate :
Oct. 28 2005-Nov. 1 2005
Firstpage :
49
Lastpage :
53
Abstract :
A new mesh decimation algorithm is proposed to address the problem of obtaining shape-preserving coarse approximations of a highly detailed 3D surface mesh. The input mesh is segmented into multiple, disjoint sub-meshes to facilitate decimation. Given a sub-mesh, various shape clusters are identified and the vertices in those clusters arc labeled as boundary or interior. Shape is preserved by considering only similar-labeled vertex pairs as candidates for a potential merge. Sub-mesh decimation is realized by merging a vertex pair that minimizes the proposed graph energy based cost function. Results demonstrate the efficiency and efficacy of the approach
Keywords :
graph theory; image segmentation; 3D surface mesh; graph-theoretic framework; shape-preserving coarse approximations; shape-preserving mesh decimation; Clouds; Clustering algorithms; Cost function; Energy measurement; Image sampling; Image segmentation; Merging; Robustness; Shape measurement; Topology;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Signals, Systems and Computers, 2005. Conference Record of the Thirty-Ninth Asilomar Conference on
Conference_Location :
Pacific Grove, CA
ISSN :
1058-6393
Print_ISBN :
1-4244-0131-3
Type :
conf
DOI :
10.1109/ACSSC.2005.1599699
Filename :
1599699
Link To Document :
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