Mesh Denoising Algorithm

 in Mesh Filtering  tagged code

This is software for denoising meshes using the technique described in our paper “Fast and Effective Feature-Preserving Mesh Denoising”.

If you use this code please cite one of these publications:

  • Xianfang Sun, Paul L. Rosin, Ralph R. Martin, Frank C. Langbein. Bas-Relief Generation Using Adaptive Histogram Equalisation. IEEE Trans. Visualization and Computer Graphics, 15(4):642-653,2009.

    [Details]

  • Xianfang Sun, Paul L. Rosin, Ralph R. Martin, Frank C. Langbein. Noise Analysis and Synthesis for 3D Laser Depth Scanners. Graphical Models

    [Details]

  • Xianfang Sun, Paul L. Rosin, Ralph R. Martin, Frank C. Langbein. Random Walks for Feature-Preserving Mesh Denoising. Computer-Aided Geometric Design

    [Details]

  • Xianfang Sun, Paul L. Rosin, Ralph R. Martin, Frank C. Langbein. Noise in 3D Laser Range Scanner Data. In: Proc. IEEE Conf. Shape Modelling and Applications, IEEE Computer Society, p. 37-45, 2008.

    [Details]

  • X.-F. Sun, P. L. Rosin, R. R. Martin, F. C. Langbein. Fast and Effective Feature-Preserving Mesh Denoising. IEEE Trans. Visualization and Computer Graphics, 13(5):925-938, 2007.

    [Details]

  • X.-F. Sun, P. L. Rosin, R. R. Martin, F. C. Langbein. Random Walks for Mesh Denoising. In: Proc. ACM Symp. Solid and Physical Modeling, pp. 11-22, ACM Siggraph 2007.

    [Details]
Cite this page as 'Frank C Langbein, "Mesh Denoising Algorithm," Ex Tenebris Scientia, 23rd October 2009, https://langbein.org/mdenoise/ [accessed 26th April 2024]'.

CC BY-NC-SA 4.0 This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.