Technical Section: A direction-oriented sharpness dependent filter for 3D polygon meshes
Computers and Graphics
Random walks for feature-preserving mesh denoising
Computer Aided Geometric Design
Feature detection of triangular meshes based on tensor voting theory
Computer-Aided Design
Feature-preserving denoising of point-sampled surfaces
CEA'09 Proceedings of the 3rd WSEAS international conference on Computer engineering and applications
Robust denoising of point-sampled surfaces
WSEAS Transactions on Computers
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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.