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Feature-preserving kernel diffusion for surface denoising

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2 Author(s)
Tarmissi, K. ; Concordia Inst. for Inf. Syst. Eng., Concordia Univ., Montreal, QC, Canada ; Ben Hamza, A.

We present a 3D mesh denoising method based on kernel density estimation. The proposed approach is able to reduce the over-smoothing effect and effectively remove undesirable noise while preserving prominent geometric features of a 3D mesh such as curved surface regions, sharp edges, and fine details. The experimental results demonstrate the effectiveness of the proposed approach in comparison to existing mesh denoising techniques.

Published in:

Image Processing (ICIP), 2009 16th IEEE International Conference on

Date of Conference:

7-10 Nov. 2009