Signal, Image and Video Processing

, Volume 5, Issue 2, pp 191–201 | Cite as

Multivariate kernel diffusion for surface denoising

Original Paper
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Abstract

In this paper, we introduce 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.

Keywords

Mesh denoising Kernel density estimation Anisotropic diffusion 
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Copyright information

© Springer-Verlag London Limited 2010

Authors and Affiliations

  1. 1.Concordia Institute for Information Systems EngineeringConcordia UniversityMontréalCanada

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