Shape deformation based on least-square mesh

被引：0

作者：

Wang R. ^{[1
]}

Xu Q. ^{[2
]}

Wang Q. ^{[1
]}

Liu Y. ^{[1
]}

Zhang S. ^{[2
]}

机构：

[1] College of Computer Science and Information Technology, Zhejiang Wanli University

[2] College of Computer Science and Technology, Zhejiang University

来源：

Jisuanji Fuzhu Sheji Yu Tuxingxue Xuebao/Journal of Computer-Aided Design and Computer Graphics | 2010年 / 22卷 / 05期

关键词：

Free-form deformation; High-frequency signal; Least-square mesh; Local frames; Mean value coordinates;

D O I：

10.3724/SP.J.1089.2010.10787

中图分类号：

学科分类号：

摘要：

The main drawback of free-form deformation method is not able to preserve the features of shape. To address it, an efficient shape deformation algorithm is proposed based on least-square mesh. By using the global Laplacian smoothing with positional constraints, the least square mesh (LSM) including only low-frequency component of a shape is first extracted, and the high-frequency signals of the shape are encoded based on LSM. According to user editing and mean value coordinates, LSM is then deformed with free-form deformation method. By geometric transformations at each vertex of LSM, the codes of the deformed high-frequency components are determined, and by decoding them, the deformed shape is finally achieved. Some experimental results demonstrate the algorithm is very fast, easy to manipulate and able efficiently to preserve the features of shape.

引用

页码：777 / 783

页数：6

共 16 条

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