一种基于模糊推理的聚类网格简化算法  

A new mesh simplification algorithm based on fuzzy deduction clustering

作　　者：郑伟亮[1] 

机构地区：[1]深圳信息职业技术学院信息中心,广东深圳518029

出　　处：《深圳信息职业技术学院学报》2006年第1期9-12,共4页Journal of Shenzhen Institute of Information Technology

基　　金：国家"863"计划项目(2001AA130038);深圳市科技计划项目(200338)资助

摘　　要：本文提出一种新的基于聚类的网格简化方法。算法的简化过程从简单模型向复杂模型过渡。算法可根据给定的误差进行简化,整个简化过程由一个八叉树进行组织,简化过程中的简化平面由模糊推理得到。该算法便于数据组织,易于精度控制。To present a new mesh simplification method based on clustering, this paper moves smoothly from one simple model to a complex model. Organized in the form of an octree, the algorithm could be simplified according to preset margin of error. As a result of the simplification process, a plane could be achieved through the method of fuzzy deduction. This algorithm is very helpful for data organization and accuracy control.

关 键 词：网格简化 聚类 八叉树 模糊推理 

分 类 号：TP393[自动化与计算机技术—计算机应用技术]