Geometric Mesh Denoising via Multivariate Kernel Diffusion

  • Authors:
  • Khaled Tarmissi;A. Hamza

  • Affiliations:
  • Concordia Institute for Information Systems Engineering, Concordia University, Montréal, Canada;Concordia Institute for Information Systems Engineering, Concordia University, Montréal, Canada

  • Venue:
  • MIRAGE '09 Proceedings of the 4th International Conference on Computer Vision/Computer Graphics CollaborationTechniques
  • Year:
  • 2009

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Abstract

We present a 3D mesh denoising method based on kernel density estimation. The proposed approach is able to reduce the oversmoothing 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.