按曲率选取基点的多分辨率表示重构算法  

A New Multiresolution Representation Approach Based on Curvature

作　　者：彭莉[1] 李桂清[1] 熊赟晖[1] 戴专[1] 

机构地区：[1]华南理工大学计算机科学与工程学院,广州510640

出　　处：《计算机辅助设计与图形学学报》2008年第6期700-706,共7页Journal of Computer-Aided Design & Computer Graphics

基　　金：国家自然科学基金(60673005);广东省自然科学基金(05006540);浙江大学CAD&CG国家重点实验室开放基金

摘　　要：通过曲率引导选取一组基面来完成Eck等提出的任意拓扑三角网格多分辨率表示重构算法中的Voronoi划分.在提高效率的同时,可在相同网格规模下取得更好的重构质量;在重采样过程中以粗网格的Loop细分来指导参数域的细分,减轻了原算法因线性细分而产生的块状分界现象.最后提出一种自适应细分重采样技术,以减少数据冗余.We present a new approach to generate a multiresolution representation of meshes by selecting a set of sites based on curvature. Compared with the method proposed by Eck et al. , it improves not only the reconstruction efficiency but also the resampling quality. Furthermore, we propose a resampling strategy based on Loop subdivision to avoid obvious tiled boundaries and an adaptive refinement scheme to reduce data redundancy, respectively.

关 键 词：多分辨率表示 三角网格 VORONOI图 重网格化 自适应细分 

分 类 号：TP391.41[自动化与计算机技术—计算机应用技术]