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Vertex-based diffusion for 3-D mesh denoising.

Ying Zhang1, A Ben Hamza

  • 1Concordia Institute for Information Systems Engineering Concordia University, Montréal, QC H3G 1M8, Canada.

IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society
|April 5, 2007
PubMed
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This study introduces a novel vertex-based diffusion method for 3-D mesh denoising. The technique effectively smooths 3-D meshes while preserving geometric details, outperforming existing methods.

Area of Science:

  • Computer Graphics
  • Computational Geometry
  • Image Processing

Background:

  • 3-D mesh data is susceptible to noise, degrading its quality and utility.
  • Existing 3-D mesh smoothing techniques often struggle to preserve essential geometric structures during denoising.

Purpose of the Study:

  • To develop an efficient and fast 3-D mesh denoising method.
  • To preserve the geometric structure of 3-D meshes during the smoothing process.

Main Methods:

  • A vertex-based diffusion approach was employed.
  • A nonlinear discrete partial differential equation was solved.
  • Geometric insights were utilized to guide the diffusion process.

Main Results:

Related Experiment Videos

  • The proposed method demonstrated significant improvements in 3-D mesh denoising.
  • Experimental results showed superior performance compared to existing 3-D mesh smoothing techniques.
  • The method effectively preserved the geometric structure of the input meshes.

    • Conclusions:

    • The vertex-based diffusion method offers an effective solution for 3-D mesh denoising.
    • The approach provides a balance between noise reduction and geometric detail preservation.
    • This technique represents an advancement in 3-D mesh processing and smoothing.