首页 | 官方网站   微博 | 高级检索  
     

基于条件数的摄像机自标定方法的鲁棒性分析
引用本文:黄凤荣,孙凤梅,胡占义.基于条件数的摄像机自标定方法的鲁棒性分析[J].自动化学报,2006,32(3):337-344.
作者姓名:黄凤荣  孙凤梅  胡占义
作者单位:1.中科院自动化所模式识别国家重点实验室,北京 100080;
基金项目:科技部科研项目;中国科学院资助项目
摘    要:对基于绝对二次曲线和基于绝对二次曲面的两类摄像机自标定方法的鲁棒性进行了分析,并从矩阵条件数出发,通过大量仿真实验对两类方法进行了定量比较.实验结果表明, 基于绝对二次曲线的摄像机自标定方法的系数矩阵的条件数一般小于基于绝对二次曲面方法的系数矩阵的条件数.另外,当常数因子有误差时,基于绝对二次曲面方法的系数矩阵条件数的变化一般比基于绝对二次曲线方法系数矩阵条件数的变化更剧烈.上述二点表明,基于绝对二次曲线的自标定方法的鲁棒性一般要优于基于绝对二次曲面的自标定方法.上述结论与文献中的一些实验观察正好相佐.

关 键 词:摄像机自标定    条件数    鲁棒性
收稿时间:2004-04-28
修稿时间:2006-01-04

Analysis on the Robustness of Camera Self-calibration in Terms of Conditioning Number
HUANG Feng-Rong,SUN Feng-Mei,HU Zhan-Yi.Analysis on the Robustness of Camera Self-calibration in Terms of Conditioning Number[J].Acta Automatica Sinica,2006,32(3):337-344.
Authors:HUANG Feng-Rong  SUN Feng-Mei  HU Zhan-Yi
Affiliation:1.National Laboratory of Pattern Recognition;Institute of Automation;Chinese Academy of Sciences;Beijing 100080Department of Physics;Capital Normal University;Beijing 100037 School of Science;North China University of Technology;Beijing 100041
Abstract:Based on extensive simulations, the robustness aspect of the two main kinds of camera self-calibration methods, namely the absolute conic based method and the absolute quadric based one, is investigated and compared in terms of the conditioning number of the corresponding coefficient matrix. In addition, the sensitivity of the conditioning number to the unknown scales in the constraint equations is also investigated. It is shown that the conditioning number of the absolute conic based method is generally smaller than that of the absolute quadric based one, and the absolute quadric based method is generally more sensitive to the possible scaling errors. The above simulation results indicate that the absolute conic based method is more robust than the absolute quadric based one, a conclusion in direct contradiction to the previously reported observations in the literature.
Keywords:Camera self-calibration  conditioning number  robustness
本文献已被 CNKI 维普 万方数据 等数据库收录!
点击此处可从《自动化学报》浏览原始摘要信息
点击此处可从《自动化学报》下载全文
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司    京ICP备09084417号-23

京公网安备 11010802026262号