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Measuring the Structure, Composition, and Change of Underwater Environments with Large-area Imaging
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Published on: April 18, 2025

Surface mapping using consistent pants decomposition.

Xin Li1, Xianfeng Gu, Hong Qin

  • 1Department of Electrical & Computer Engineering and the Center of Computation & Technology, Louisiana State University, Baton Rouge, LA 70803, USA. xinli@lsu.edu

IEEE Transactions on Visualization and Computer Graphics
|May 9, 2009
PubMed
Summary
This summary is machine-generated.

This study introduces a novel pants decomposition framework for automatic surface mapping between shapes of any topology. The method simplifies complex mappings, offering flexibility and user control for shape computing applications.

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Area of Science:

  • Computer Graphics
  • Computational Geometry
  • Geometric Modeling

Background:

  • Surface mapping is crucial for shape computing and related fields.
  • Existing methods struggle with arbitrary topologies and user control.

Purpose of the Study:

  • To develop an automatic and flexible framework for computing maps between surfaces with arbitrary topologies.
  • To enable user-guided control over surface mapping through semantic integration.

Main Methods:

  • Pants decomposition of surfaces into genus-0 patches.
  • Composition of global mappings using harmonic maps of corresponding patches.
  • Integration of user constraints (point/curve) via human-computer interaction.

Main Results:

  • Automatic, one-to-one continuous mapping for complex topologies.
  • Flexible computation between surfaces of different topologies.
  • Reduced labor and increased intuitiveness compared to traditional methods.

Conclusions:

  • The pants decomposition framework provides an effective and user-friendly solution for surface mapping.
  • The method demonstrates significant potential for modeling and applications in shape computing.
  • It overcomes limitations of existing techniques in handling arbitrary topologies and user guidance.