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基于主动视觉摄像机标定方法
引用本文:胡占义,吴福朝.基于主动视觉摄像机标定方法[J].计算机学报,2002,25(11):1149-1156.
作者姓名:胡占义  吴福朝
作者单位:中科院自动化研究所模式识别国家重点实验室,北京,100080
基金项目:本课题得到国家自然科学基金(60175009),中国科学院重大交叉学科前沿项目(KJCX1-07)资助
摘    要:基于主动视觉的摄像机标定是摄像机标定的重要分支之一,本文引入了必要的基础知识和概念,诸如摄像机模型和投影矩阵,基础矩阵,单应矩阵,极点,FOE(Focus Of Expansion)等,还对基于摄像机纯旋转的标定,于摄像机三正交平移运动的标定,基于多次摄像机平面正交运动的标定,基于无穷远平面单应矩阵的标定以及于射影重建的标定进行了评述并给出了结论。

关 键 词:主动视觉  摄像机标定  计算机视觉  二维图像获取
修稿时间:2000年10月13

A Review on Some Active Vision Based Camera Calibration Techniques
HU Zhan-Yi,WU Fu-Chao.A Review on Some Active Vision Based Camera Calibration Techniques[J].Chinese Journal of Computers,2002,25(11):1149-1156.
Authors:HU Zhan-Yi  WU Fu-Chao
Abstract:The active vision based camera calibration is one of most important research directions in camera calibration. This paper reviews some of the techniques reported in the literature recently in the field. The paper is organized as follows : Section 1 is a brief introduction. Some basic concepts are listed in Section 2, such as camera model, projection matrix, fundamental matrix, infinite homograpgy, epipole, FOE (Focus Of Expansion). The calibration of a rotating camera is reviewed in section 3. Camera calibration via three mutually orthogonal camera motions is reviewed in section 4. Camera calibration by multiple planar orthogonal camera motions is reviewed in section 5. Section 6 is about camera calibration by the infinite homography. The camera calibration through projective reconstruction is discussed in section 7. Finally some concluding remarks are given in section 8.
Keywords:active vision  camera calibration
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