【作者】 陈琰； 高月芳； 朱同林；

【Author】 CHEN Yan GAO Yue-fang ZHU Tong-lin South China Agriculture University College of informatics, Guangdong Guangzhou 510642, China

【机构】 华南农业大学信息学院；

【摘要】 本文从原始机理、运行效率以及误差率等方面入手,研究了目前几类主流网格模型平滑算法:Laplacian平滑算法、Curvature平滑算法和Taubin算法,融合分析及验证的结果,提出了一种基于顶点属性的混合平滑算法,解决以往单纯使用一种算法而出现的弊端,并使用GPU可编程图形管线技术实现了平滑算法,获得了较快的处理速度。更多还原

【Abstract】 In this paper, we lucubrates the most popular approaches for smoothing and denoising of polyhedral surface: Laplacian smoothing, Curvature smoothing and Taubin smoothing. Merge the result analyzed and proved, a new method in surface smoothing is merging the different smoothing arithmetic based on the different attribute vertices of the mesh,solve the drawback that only used a kind of algorithm to appear in the past.,and used the GPU programmable pipeline realized this algorithms, It is proved that the kind of algorithms is effective by experiment.更多还原