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Harmonic volumetric mapping for solid modeling applications
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ACM Symposium on Solid and Physical Modeling archive
Proceedings of the 2007 ACM symposium on Solid and physical modeling table of contents
Beijing, China
SESSION: Geometric computing for volumetric data I table of contents
Pages: 109 - 120  
Year of Publication: 2007
ISBN:978-1-59593-666-0
Authors
Xin Li  Stony Brook Univ.
Xiaohu Guo  UT Dallas
Hongyu Wang  SBU
Ying He  Nanyang Tech. Univ., Singapore
Xianfeng Gu  SBU
Hong Qin  SBU
Sponsor
Tsinghua University : Tsinghua University
Publisher
ACM  New York, NY, USA
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ABSTRACT

Harmonic volumetric mapping for two solid objects establishes a one-to-one smooth correspondence between them. It finds its applications in shape registration and analysis, shape retrieval, information reuse, and material/texture transplant. In sharp contrast to harmonic surface mapping techniques, little research has been conducted for designing volumetric mapping algorithms due to its technical challenges. In this paper, we develop an automatic and effective algorithm for computing harmonic volumetric mapping between two models of the same topology. Given a boundary mapping between two models, the volumetric (interior) mapping is derived by solving a linear system constructed from a boundary method called the fundamental solution method. The mapping is represented as a set of points with different weights in the vicinity of the solid boundary. In a nutshell, our algorithm is a true meshless method (with no need of specific connectivity) and the behavior of the interior region is directly determined by the boundary. These two properties help improve the computational efficiency and robustness. Therefore, our algorithm can be applied to massive volume data sets with various geometric primitives and topological types. We demonstrate the utility and efficacy of our algorithm in shape registration, information reuse, deformation sequence analysis, tetrahedral remeshing and solid texture synthesis.


REFERENCES

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Collaborative Colleagues:
Xin Li: colleagues
Xiaohu Guo: colleagues
Hongyu Wang: colleagues
Ying He: colleagues
Xianfeng Gu: colleagues
Hong Qin: colleagues