计算机应用研究2017，Vol.34Issue(11)：3463-3467,5.DOI:10.3969/j.issn.1001-3695.2017.11.059
强约束条件下环绕式相机标定方法
Surrounding-camera calibration with strong restrictive constraints
摘要
Abstract
In the field of computer vision and close range photogrammetry,it is critical to accurately calibrate the intrinsic parameters and the fixed relative orientation relationship between the two cameras of the stereo camera system used for high precision 3D reconstruction.This paper derived six fixed and independent relative orientation constraints between the two cameras firstly,and then employed self-calibration bundle adjustment with restrictive constraints to calibrate the stereo camera system.Finally,it both employed synthetic and real data to verify the performance of the calibration method proposed.The experiment result reveals that the proposed relative orientation constraints can effectively increase the redundant observations of the calibration adjustment system,and it can improve the accuracy and stability of the calibration.This paper established camera calibration system and proposed a method for fast camera calibration under strong constraint conditions.It applied the method to the research of 3D reconstruction of human body.This method can also be extended to other stereo camera systems which consist of more than two cameras.关键词
相机标定/三维重建/立体像对/几何约束Key words
camera calibration/3D reconstruction/stereo image pair/geometric constraint分类
信息技术与安全科学引用本文复制引用
赵漫丹,刘烨斌,吴高昌,郝向阳..强约束条件下环绕式相机标定方法[J].计算机应用研究,2017,34(11):3463-3467,5.基金项目
国家“863”计划资助项目(2015AA7034057A) （2015AA7034057A）
