Camera Calibration Based on Improved Genetic Algorithm

摘要：

Camera calibration is considered as an important issue in computer vision, and this technology has been widely applied to 3D structure reconstruction, navigation, visual surveillance, 3D measurement and other fields. Camera calibration of stereo vision is the optimization of multiparameter, nonlinear complicated function which is different to resolve by using conventional optimization method. In this paper, the encoding method of standard genetic algorithm is improved- adaptive adjustment function of variable interval is applied, and Pm, Pcadaptive adjustment is applied. Improved genetic algorithm can not only provide the adequate search space, but also ensure the precise enough encoding precision without altering the length of chromosome string. The experiments on the camera calibration of the binocular vision system indicate that the improved genetic algorithm can find the near optimum in the high-dimension optimization space effectively.

关键词： Stereo vision Camera calibration Genetic algorithm Adaptive adjustment

作者: Yingjie Xing Qiao Liu Jing Sun Long Hu

作者单位: Key Laboratory for Precision and Non-traditional Machining Technology of Ministry of Education Dalian University of Technology Dalian, Liaoning Province, China,116023

会议类型: 国际会议

会议名称: 2007 IEEE International Conference on Automation and Lofistics

会议地点: 山东济南

会议语种:英文

在线出版日期: 2007-08-18（万方平台首次上网日期，不代表论文的发表时间）