Robust Feature-Preserving Mesh Denoising Based on Consistent Subneighborhoods

In this paper, we introduce a feature-preserving denoising algorithm. It is built on the premise that the underlying surface of a noisy mesh is piecewise smooth, and a sharp feature lies on the intersection of multiple smooth surface regions. A vertex close to a sharp feature is likely to have a nei...

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Veröffentlicht in:	IEEE transactions on visualization and computer graphics 2010-03, Vol.16 (2), p.312-324
Hauptverfasser:	Fan, Hanqi, Yu, Yizhou, Peng, Qunsheng
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Anisotropic filters bilateral filtering clustering Clustering algorithms Computer Graphics Computer Simulation Curvature curvature tensors Curve fitting Denoising Estimation theory features Filtering Finite element method Geometry Image Enhancement - methods Image Interpretation, Computer-Assisted - methods Imaging, Three-Dimensional - methods Mathematical analysis Mathematical models Models, Theoretical Nearest neighbor searches Noise reduction normals Preserves quadrics Robustness Segments shared nearest neighbors Tensile stress Tensors
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