Spectral Quadrangulation with Orientation and Alignment Control

被引:92
作者
Huang, Jin [1 ]
Zhang, Muyang [1 ]
Ma, Jin [1 ]
Liu, Xinguo [1 ]
Kobbelt, Leif [2 ]
Bao, Hujun [1 ]
机构
[1] Zhejiang Univ, State Key Lab CAD&CG, Hangzhou, Zhejiang, Peoples R China
[2] Rhein Westfal TH Aachen, Aachen, Germany
来源
ACM TRANSACTIONS ON GRAPHICS | 2008年 / 27卷 / 05期
关键词
quadrangular remeshing; Laplacian eigenfunctions; constrained optimization;
D O I
10.1145/1409060.1409100
中图分类号
TP31 [计算机软件];
学科分类号
081202 ; 0835 ;
摘要
This paper presents a new quadrangulation algorithm, extending the spectral surface quadrangulation approach where the coarse quadrangular structure is derived from the Morse-Smale complex of an eigenfunction of the Laplacian operator on the input mesh. In contrast to the original scheme, we provide flexible explicit controls of the shape, size, orientation and feature alignment of the quadrangular faces. We achieve this by proper selection of the optimal eigenvalue (shape), by adaption of the area term in the Laplacian operator (size), and by adding special constraints to the Laplace eigenproblem (orientation and alignment). By solving a generalized eigenproblem we can generate a scalar field on the mesh whose MorseSmale complex is of high quality and satisfies all the user requirements. The final quadrilateral mesh is generated from the MorseSmale complex by computing a globally smooth parametrization. Here we additionally introduce edge constraints to preserve user specified feature lines accurately.
引用
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页数:9
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