.png){kind=icon}
返回
Non-iterative approach for global mesh optimization
.png){kind=icon}
PRE
AI
DOI：10.1016/j.cad.2007.03.004.png)
.png){kind=icon}
原文求助.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
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. (C) 2007 Elsevier Ltd. All rights reserved.
Keyword:
mesh optimization
non-iterative
global Laplacian operator
feature preserving
期刊
C
IF:
3.1
论文数:
3.1K
被引数:
6.4K
机构
暂无机构信息
引用论文
The use of dynamic response to evaluate and improve the optimization of existing soft railway catenary systems for higher speeds.png)
Proceedings of the Institution of Mechanical Engineers, Part F: Journal of Rail and Rapid Transit
Proceedings of the Institution of Mechanical Engineers, Part F: Journal of Rail and Rapid TransitIF0
PREAI
分享收藏
查看更多内容