计算机工程与应用 ›› 2006, Vol. 42 ›› Issue (13): 15-.

• 博士论坛 • 上一篇    下一篇

用协同演化并行PSO重构扩展的超二次曲面模型

黄芳、樊晓平、瞿志华

  

  1. 中南大学信息科学与工程学院
  • 收稿日期:2006-01-23 修回日期:1900-01-01 出版日期:2006-05-01 发布日期:2006-05-01
  • 通讯作者: 黄芳 hfang hfang

Reconstruction of Extended Superquadric Models by Cooperative Evolution Parallel PSO Algorithm

Fang Huang,,   

  1. 中南大学信息科学与工程学院
  • Received:2006-01-23 Revised:1900-01-01 Online:2006-05-01 Published:2006-05-01
  • Contact: Fang Huang

摘要: 针对用传统方法难以求解的扩展的超二次曲面三维模型参数拟合问题,提出了用协同演化的并行粒子群优化算法求解的新方法。通过对扩展的超二次曲面三维表示特性的研究,设计和实现了基于岛屿群体模型的并行粒子群优化算法,并用协同演化的思想,将约束非线性优化转化为极小极大问题进行求解。实验结果表明用协同演化的并行粒子群优化算法重构扩展的超二次曲面三维模型,扩大了模型表示能力,建模精确且效率高。

关键词: 三维重构, 扩展的超二次曲面, 并行粒子群优化算法, 协同演化, 约束非线性优化

Abstract: A new method of cooperative evolution parallel particle swarm optimization algorithm is proposed in this paper. It aims at extended superquadric parametric fitting problem which is difficult to solve by traditional method. 3D representation characteristics of extended superquadrics were investigated firstly. The parallel particle swarm optimization algorithm was designed and practically implemented by an idea of island population model. Cooperative evolution parallel particle swarm optimization solved the constrained nonlinear optimization that was transformed to minimax problem for extended superquadric parametric fitting. The results show the enhanced representation capability and accurate and effective modeling by the proposed approach in extended superquadric 3D reconstruction.

Key words: 3D reconstruction, extended superquadrics, parallel particle swarm optimization algorithm, cooperative evolution, constrained nonlinear optimization