Surface Mapping Using Consistent Pants Decomposition

@article{Li2009SurfaceMU,
  title={Surface Mapping Using Consistent Pants Decomposition},
  author={Xin Li and Xianfeng Gu and Hong Qin},
  journal={IEEE Transactions on Visualization and Computer Graphics},
  year={2009},
  volume={15},
  pages={558-571}
}
Surface mapping is fundamental to shape computing and various downstream applications. This paper develops a pants decomposition framework for computing maps between surfaces with arbitrary topologies. The framework first conducts pants decomposition on both surfaces to segment them into consistent sets of pants patches (a pants patch is intuitively defined as a genus-0 surface with three boundaries), then composes global mapping between two surfaces by using harmonic maps of corresponding… CONTINUE READING
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References

Publications referenced by this paper.
Showing 1-10 of 29 references

Topological Evolution of Surfaces

Graphics Interface • 1996
View 4 Excerpts
Highly Influenced

Globally Optimal Surface Mapping for Surfaces with Arbitrary Topology

IEEE Transactions on Visualization and Computer Graphics • 2008
View 5 Excerpts

On Computing Handle and Tunnel Loops

2007 International Conference on Cyberworlds (CW'07) • 2007
View 1 Excerpt

Consistent spherical parameterization

International Conference on Computational Science • 2005
View 2 Excerpts

Surface Parameterization: a Tutorial and Survey

Advances in Multiresolution for Geometric Modelling • 2005
View 1 Excerpt

Deterministic sampling methods for spheres and SO(3)

IEEE International Conference on Robotics and Automation, 2004. Proceedings. ICRA '04. 2004 • 2004
View 2 Excerpts

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