Geometric Mesh Denoising via Multivariate Kernel Diffusion
Khaled Tarmissi, A. Ben Hamza
MIRAGE 2009: Computer Vision/Computer Graphics Collaboration Techniques, May 2009, pp. 23--33.
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.
Article URL: http://dx.doi.org/10.1007/978-3-642-01811-4_3
BibTeX format:
@incollection{Tarmissi:2009:GMD,
  author = {Khaled Tarmissi and A. Ben Hamza},
  title = {Geometric Mesh Denoising via Multivariate Kernel Diffusion},
  booktitle = {MIRAGE 2009: Computer Vision/Computer Graphics Collaboration Techniques},
  pages = {23--33},
  month = may,
  year = {2009},
}
Search for more articles by Khaled Tarmissi.
Search for more articles by A. Ben Hamza.

Return to the search page.

graphbib: Powered by "bibsql" and "SQLite3."