Feature-Preserving Mesh Deformation Using Normal-Controlled Coordinates

Shengfa Wang, Yu Cai, Zhiling Yu, Junjie Cao, Zhixun Su
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引用次数: 0

Abstract

As a local shape descriptor, normal-controlled coordinates (NCC) are well defined on the boundary vertices of open meshes, and proven being always parallel with the corresponding vertex normals, which means no tangential drift appears in various editing operations. These two properties make NCC outperform the previous differential coordinates in many mesh processing jobs. We develop a novel deformation algorithm based on NCC, which is efficient by subtly using vertex normals. In addition, since NCC have no tangential drift and are well defined on boundary, they can be easily extended to industry applications, such as automobile modeling. Experiments show that NCC perform better than the previous differential coordinates in both effectiveness and efficiency.
使用法向控制坐标的特征保持网格变形
作为一种局部形状描述符,法控坐标(NCC)在开放网格的边界顶点上被很好地定义,并被证明总是与相应顶点法线平行,这意味着在各种编辑操作中不会出现切向漂移。这两个属性使得NCC在许多网格处理作业中优于以前的微分坐标。我们提出了一种新的基于NCC的变形算法,该算法通过巧妙地使用顶点法线来提高算法的效率。此外,由于NCC没有切向漂移,并且在边界上有很好的定义,因此可以很容易地扩展到工业应用,例如汽车建模。实验表明,NCC在有效性和效率上都优于以往的微分坐标。
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