DocumentCode :
3383854
Title :
A new bilateral mesh smoothing method by recognizing features
Author :
Shimizu, Takafumi ; Date, Hiroaki ; Kanai, Satoshi ; Kishinami, Takeshi
Author_Institution :
Graduate Sch. of Inf. Sci. & Technol., Hokkaido Univ., Japan
fYear :
2005
fDate :
7-10 Dec. 2005
Abstract :
In this paper, we propose a new mesh smoothing method for mesh models with measurement noise obtained from a 3D scanner. Our proposed method enables not only the removal of noise from the faces but the preservation and smoothing of features recognized as sharp edges and corners. First, by using the eigen analysis of normal voting tensor, mesh edges composed of sharp edges can be extracted. Second, bilateral filtering is applied to extracted mesh edges to smooth the mesh edges along the direction of the sharp edge. Finally, by applying modified bilateral filtering to the overall mesh, a mesh model with sharp edges smoothed along their directions and measurement noise removed from faces was obtained.
Keywords :
feature extraction; image denoising; mesh generation; smoothing methods; bilateral filtering; bilateral mesh smoothing; eigen analysis; feature preservation; feature recognition; feature smoothing; mesh edges; noise removal; normal voting tensor; Face recognition; Filtering; Information science; Noise measurement; Optical filters; Optical noise; Smoothing methods; Solid modeling; Tensile stress; Voting;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Aided Design and Computer Graphics, 2005. Ninth International Conference on
Print_ISBN :
0-7695-2473-7
Type :
conf
DOI :
10.1109/CAD-CG.2005.10
Filename :
1604648
Link To Document :
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