抽取
稳健性(进化)
计算机科学
几何处理
计算
顶点(图论)
算法
双射
失真(音乐)
多边形网格
缩小
计算科学
理论计算机科学
数学
计算机视觉
计算机图形学(图像)
图形
组合数学
滤波器(信号处理)
基因
计算机网络
化学
放大器
程序设计语言
带宽(计算)
生物化学
作者
Xin Hu,Xiao‐Ming Fu,Ligang Liu
标识
DOI:10.1109/tvcg.2017.2704119
摘要
Computing spherical parameterizations for genus-zero closed surfaces is a fundamental task for geometric processing and computer graphics. Existing methods usually suffer from a lack of practical robustness or poor quality. In this paper, we present a practically robust method to compute high-quality spherical parameterizations with bijection and low isometric distortion. Our method is based on the hierarchical scheme containing mesh decimation and parameterization refinement. The practical robustness of our method relies on two novel techniques. The first one is a flat-to-extrusive decimation strategy, which contains two decimation error metrics to alleviate the difficulty of further mesh refinement. The second is a flexible group refinement technique that consists of flexible vertex insertion and efficient volumetric distortion minimization to control the maximum distortion. We convert the task of volumetric distortion minimization to one of tetrahedral mesh improvement to make the vertices distribute uniformly for efficient refinement. Compared with state-of-the-art methods, our method is more practically robust and possesses better mapping qualities. We demonstrate the efficacy of our method in spherical parameterization computations on a data set containing over five thousand complex models.
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