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Template-based 3D model fitting using dual-domain relaxation.

I-Cheng Yeh1, Chao-Hung Lin, Olga Sorkine

  • 1Department of Computer Science and Information Engineering, National Cheng-Kung University, No. 1, Daxue Rd., East Dist., Tainan City 701, Taiwan, ROC. ichenyeh@gmail.com

IEEE Transactions on Visualization and Computer Graphics
|October 13, 2010
PubMed
Summary
This summary is machine-generated.

We developed a new template fitting method for 3D surface meshes. This approach improves geometric fitting accuracy and mesh quality, outperforming existing techniques for applications like surface parameterization.

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Area of Science:

  • Computer Graphics
  • Computational Geometry
  • Geometric Modeling

Background:

  • 3D surface mesh reconstruction and fitting are crucial in various fields.
  • Existing methods often struggle with mesh quality and geometric accuracy.
  • Template-based fitting offers a promising avenue for deforming models to target geometries.

Purpose of the Study:

  • To introduce a novel template fitting method for 3D surface meshes.
  • To enhance the quality of mesh elements and the accuracy of geometric approximation.
  • To demonstrate the method's effectiveness and applicability in surface parameterization.

Main Methods:

  • A template mesh is deformed to approximate input 3D geometry.
  • Laplacian processing framework with coarse and fine fitting stages.
  • Iterative Laplacian editing in the dual mesh domain with correspondence constraints and local surface flattening.

Main Results:

  • The method automatically adjusts template connectivity for high-quality mesh elements.
  • Significantly reduces triangle foldovers, a common issue in mesh fitting.
  • Achieves superior results compared to state-of-the-art techniques.

Conclusions:

  • The proposed template fitting method offers significant improvements in accuracy and mesh quality.
  • The dual mesh domain processing effectively mitigates foldover issues.
  • The method is valuable for applications such as consistent surface parameterization (cross-parameterization).