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Automatic construction of quad-based subdivision surfaces using Fitmaps.

Daniele Panozzo1, Enrico Puppo, Marco Tarini

  • 1Department of Computer and Information Sciences, University of Genoa, Via Dodecaneso 35, Genoa 16146, Italy. panozzo@disi.unige.it

IEEE Transactions on Visualization and Computer Graphics
|February 2, 2011
PubMed
Summary
This summary is machine-generated.

This study introduces an automatic method for creating Catmull-Clark subdivision surfaces that accurately fit input meshes. The technique uses a coarse, adaptive control mesh derived from simplifying high-resolution meshes, ensuring shape fidelity.

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Area of Science:

  • Computer Graphics
  • Geometric Modeling
  • Digital Geometry Processing

Background:

  • Generating smooth surfaces from discrete data is a fundamental problem in computer graphics.
  • Existing methods may struggle with complex shapes or require significant manual intervention.

Purpose of the Study:

  • To develop an automated method for producing Catmull-Clark subdivision surfaces that precisely fit arbitrary input meshes.
  • To create a coarse and adaptive control mesh that maintains high fidelity to the original shape.

Main Methods:

  • Progressive simplification of an initial high-resolution mesh using local operators.
  • Employing simplification that balances surface quality with faithfulness to the input geometry.
  • Utilizing displacement mapping or normal mapping for fine-grained shape approximation.

Main Results:

  • An automatic method capable of generating Catmull-Clark subdivision surfaces for complex input meshes.
  • The generated control mesh is adaptive and coarse, simplifying the surface representation.
  • The method demonstrates robustness and high performance on diverse and intricate shapes.

Conclusions:

  • The proposed technique offers an efficient and robust solution for fitting Catmull-Clark subdivision surfaces to input meshes.
  • Adaptive control mesh generation ensures both surface quality and accurate shape representation.
  • The approach is suitable for applications requiring detailed surface approximation of complex models.