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Related Experiment Videos

Wavelet-based progressive compression scheme for triangle meshes: wavemesh.

Sébastien Valette1, Rémy Prost

  • 1CREATIS, INSA Batiment B. Pascal, 69621 Villeurbanne Cedex, France. sebastien.valette@creatis.insa-lyon.fr

IEEE Transactions on Visualization and Computer Graphics
|September 24, 2004
PubMed
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This study introduces a novel progressive compression method for 3D triangular meshes, preserving mesh integrity. The wavelet-based approach enhances both geometric compression and data integrity for 3D mesh processing.

Area of Science:

  • Computer Graphics
  • Geometric Modeling
  • Data Compression

Background:

  • Progressive compression of 3D triangular meshes is crucial for efficient transmission and rendering.
  • Existing remeshing techniques can alter mesh connectivity and geometry, which is undesirable in some applications.
  • Wavelet multiresolution theory offers a powerful framework for analyzing and compressing irregular data structures.

Purpose of the Study:

  • To propose a new lossy-to-lossless progressive compression scheme for triangular meshes.
  • To maintain the original connectivity and geometry of the 3D mesh throughout the compression process.
  • To improve approximation quality and compression ratios at multiple resolution levels.

Main Methods:

  • A wavelet multiresolution theory adapted for irregular 3D meshes.

Related Experiment Videos

  • Solving an inverse problem to achieve mesh simplification.
  • Joint optimization of mesh connectivity and geometry.
  • Main Results:

    • The proposed scheme achieves effective compression for both connectivity and geometry of 3D meshes.
    • Experimental results demonstrate superior performance compared to existing methods for lossless and progressive compression.
    • The algorithm maintains mesh integrity while providing efficient compression.

    Conclusions:

    • The developed algorithm offers an efficient solution for progressive compression of 3D triangular meshes without altering their structure.
    • This approach is highly effective for applications requiring preservation of mesh connectivity and geometry.
    • The wavelet-based method provides significant improvements in compression ratios and approximation quality.