Document Detail

Quality Mesh Smoothing via Local Surface Fitting and Optimum Projection.
MedLine Citation:
PMID:  21686314     Owner:  NLM     Status:  Publisher    
The smoothness and angle quality of a surface mesh are two important indicators of the "goodness" of the mesh for downstream applications such as visualization and numerical simulation. We present in this paper a novel surface mesh processing method not only to reduce mesh noise but to improve angle quality as well. Our approach is based on the local surface fitting around each vertex using the least square minimization technique. The new position of the vertex is obtained by finding the maximum inscribed circle (MIC) of the surrounding polygon and projecting the circle's center onto the analytically fitted surface. The procedure above repeats until the maximal vertex displacement is less than a pre-defined threshold. The mesh smoothness is improved by a combined idea of surface fitting and projection, while the angle quality is achieved by utilizing the MIC-based projection scheme. Results on a variety of geometric mesh models have demonstrated the effectiveness of our method.
Jun Wang; Zeyun Yu
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Publication Detail:
Journal Detail:
Title:  Graphical models     Volume:  73     ISSN:  1524-0703     ISO Abbreviation:  -     Publication Date:  2011 Jul 
Date Detail:
Created Date:  2011-6-20     Completed Date:  -     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  101137122     Medline TA:  Graph Models     Country:  -    
Other Details:
Languages:  ENG     Pagination:  127-139     Citation Subset:  -    
Department of Computer Science, University of Wisconsin-Milwaukee, 3200 N. Cramer St., Milwaukee, WI 53211, USA.
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Grant Support
R15 HL103497-01//NHLBI NIH HHS

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