3-D Model Matching Based on Distributed Estimation Algorithm

摘要：

In a three-dimensional (3-D) model-based objects tracking and recognition system, the key problem of objects location is to establish the relationship between 2-D objects image and 3-D model. Based on 3-D model projection and 2-D image feature extraction, a modified Hausdorff distance is used to establish the matching function. The relationship between matching parameters are described with a probability model, and the distribution of parameter evolves towards the direction of dominant character through probability model learning and the corresponding operation, which is proposed to solve the problem of overmany iteration and slow constringency velocity The experiments show that the optimal matching parameters between 3-D model and 2-D image feature can be found accurately and efficiently, and then the accurate object location is completed.

关键词： object location model-based matching distributed estimation optimization algorithm

作者: Chen Ying Ji Zhicheng Hua Chunjian

作者单位: School of Communication and Control Engineering,Jiangnan University,Wuxi 214122 School of Mechanical Engineering,Jiangnan University,Wuxi 214122

会议类型: 国际会议

会议名称: 2009年中国控制与决策会议(2009 Chinese Control and Decision Conference)

会议地点: 广西桂林

会议语种:英文

页码: 5063-5067

在线出版日期: 2009-06-17（万方平台首次上网日期，不代表论文的发表时间）