基于(μ+λ)演化策略的超二次曲面三维建模与分割  

(μ+λ) Evolutionary Strategy for 3D Modeling and Segmentation with Superquadrics

作　　者：黄芳[1] 樊晓平[1] 杨胜跃[1] 瞿志华[1] 

机构地区：[1]中南大学信息科学与工程学院,长沙410083

出　　处：《计算机辅助设计与图形学学报》2007年第8期1002-1008,共7页Journal of Computer-Aided Design & Computer Graphics

基　　金：国家自然科学基金(69975003);湖南省自然科学基金(05JJ40130)

摘　　要：针对离散不规则数据点的三维建模与分割,用超二次曲面参数模型作为初始化种子,结合(μ+λ)演化策略来产生最佳初始化播种状态,采用最近邻方案对最佳初始化种子进行合并与分割.实验结果表明,该方法既产生了较好的建模与分割效果,又得到物体各部分之间的拓扑关系,可作为物体识别的重要依据.For the discrete proposed. By using the supe and irregular data points, a new method of 3D modeling and segmentation was rquadric parametric models as initial seeds, the best initial seeding state was obtained based on the （μ＋λ） evolutionary strategy, then the nearest neighboring approach was utilized for efficient merging and segmentation of those best initial seeds. Experimental results show that the proposed method can not only achieve the effective modeling and segmentation, but also obtain the topologic relation among the object parts, which is useful for recognition of 3D objects.

关 键 词：三维建模与分割 (μ+λ)演化策略 最近邻合并 超二次曲面种子 

分 类 号：TP391.4[自动化与计算机技术—计算机应用技术]