从密集网格自动生成粗边界笼

Chuhua Xian, Hongwei Lin, Shuming Gao
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引用次数: 37

摘要

密集网格的粗边界笼在计算机图形学、计算机视觉、几何设计等领域具有重要作用。具体来说,在基于体积的变形中,需要一个粗边界笼来操纵它所包围的密集网格模型;在细分曲面拟合中,从拟合的密集网格或点集的粗笼开始拟合;等等......然而,粗边界笼的生成主要是通过交互的方式进行的,这是非常繁琐和耗时的。在本文中,我们开发了一种全自动的方法来生成粗笼边界的密集网格模型。自动生成的粗边界笼能够保持原始网格模型的拓扑结构和主要几何特征,本文的理论分析和实验数据验证了这一点。此外,我们还将自动生成的粗边界笼应用于变形、细分拟合等应用中,取得了良好的效果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Automatic generation of coarse bounding cages from dense meshes
The coarse bounding cage of a dense mesh plays important roles in computer graphics, computer vision, and geometric design. Specifically, in volume-based deformation, a coarse bounding cage is required to manipulate the dense mesh model it enclosed; in subdivision surface fitting, the fitting starts from a coarse cage bounding the fitted dense mesh or point set; and so on. However, the generation of a coarse bounding cage is mainly by interactive ways, which are very tedious and time-consuming. In this paper, we develop a fully automatic method to generate a coarse cage bounding a dense mesh model. The automatically generated coarse bounding cage can keep the topological structure and major geometric features of the original mesh model, which is validated by theoretical analysis and experimental data presented in this paper. Further more, we employ the automatically generated coarse bounding cage in some applications, such as deformation, and subdivision fitting, producing good results.
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