Non-Iterative Approach for Global Mesh Optimization

      Ligang Liu      Chiew-Lan Tai      Zhongping Ji      Guojin Wang
Zhejiang University, China
Hong Kong University of Science & Technology, China

Computer-Aided Design 2007

Modelling subdivision connectivity meshes using our global optimization approach: (a) the initial coarse mesh; (b) the subdivided mesh from (a); (c) the optimized mesh with feature point constraints and 1-ring neighborhood center constraints from (b); (d) the smooth shading of (c); (e) the optimized mesh with feature point constraints, 1-ring neighborhood center constraints, and co-planar constraints from (b).

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Abstract

This paper presents a global optimization operator for arbitrary meshes. The global optimization operator is composed of two main terms, one part is the global Laplacian operator of the mesh which keeps the fairness and another is the constraint condition which reserves the fidelity to the mesh. The global optimization operator is formulated as a quadratic optimization problem, which is easily solved by solving a sparse linear system. Our global mesh optimization approach can be effectively used in at least three applications: smoothing the noisy mesh, improving the simplified mesh, and geometric modeling with subdivision-connectivity. Many experimental results are presented to show the applicability and flexibility of the approach.
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Keywords Mesh optimization; Non-iterative; Global Laplacian operator; Feature preserving
Paper PDF (1.8M)
Results

Others

This work is an extension of our previous work on mesh denoising using global Laplacian operator:
* Zhongping Ji, Ligang Liu, and Guojin Wang. A global Laplacian smoothing approach with feature preservation. Proceedings of The 9th International Conference on Computer Aided Design and Computer Graphics, 2005, HongKong, IEEE Computer Society, pp. 269-274, The Best Student Paper Award. [PDF, 0.7M] [Talk slides, 2M]

A concurrent work on mesh optimization by using global Laplacian operator:
* A. Nealen, T. Igarashi, O. Sorkine, M. Alexa. Laplacian mesh optimization. Proceedings of ACM GRAPHITE, 381-389, 2006. [download]
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Ack

This work is supported by the National Natural Science Foundation of China (No. 60503067, 60333010), Zhejiang Provincial Natural Science Foundation of China (No. Y105159), the Hong Kong Research Grant Council (Project No. HKUST6295/04E), and the National Grand Fundamental Research 973 Program of China (No. 2002CB312101).
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BibTex @article {Liu:CAD2007,
    title = {Non-Iterative Approach for Global Mesh Optimization},
    author = {Ligang Liu and Chiew-Lan Tai and Zhongping Ji and Guojin Wang}
    journal = {Computer-Aided Design},
    volume = {39},
    number = {9},
    pages = {772-782},
    year = {2007}
}

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