摘要
为进一步提高网格简化速度和实现连续性的层次细节(LOD),文中利用球形包围体对模型顶点进行分割,通过基于视距的误差阈值和最小误差聚类算法综合控制包围球的体积大小并对包围球的顶点进行聚类.实验结果显示,该算法能够较快、高保真地对模型网格进行简化,并解决了传统算法在层次细节实现上非连续性的问题,证明该算法是有效和实用的.
For improving velocity of Mesh Simplification and realizing continuous Level of Details(LOD),this paper uses spheres to segment vertexes of models,and control the radius of each spheres by a cluster error threshold,then cluster the vertexes in each sphere by a minimum error-based cluster algorithm.The experimental results show that this method can simplify model meshes with a comparatively high speed and high fidelity,and provides a solution to continuous LOD,so it is effective and useful.
出处
《微电子学与计算机》
CSCD
北大核心
2010年第6期185-187,共3页
Microelectronics & Computer
基金
国家自然科学基金项目(60873130)
上海市教委重点学科建设项目(J50104)
关键词
连续性LOD
包围球
误差阈值
聚类
continuous LOD
enveloping sphere
error threshold
cluster