个人信息Personal Information
教授
硕士生导师
主要任职:伯川书院执行院长
其他任职:机械工程国家级实验教学示范中心主任
性别:女
毕业院校:大连理工大学
学位:博士
所在单位:机械工程学院
学科:机械制造及其自动化
办公地点:大连理工大学知方楼7009房间
联系方式:13516059116
电子邮箱:sunjing@dlut.edu.cn
Camera calibration based on improved genetic algorithm
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论文类型:会议论文
发表时间:2007-08-18
收录刊物:EI、CPCI-S、Scopus
页面范围:2596-2601
关键字:stereo vision; camera calibration; genetic algorithm; adaptive adjustment
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 multi-parameter, 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 P-m, P-c adaptive 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.