首页 | 本学科首页   官方微博 | 高级检索  
     检索      

多视点相机联合标定及改进的PMVS重建方法
引用本文:赵漫丹,吴高昌,闫石,孙国鹏,郝向阳.多视点相机联合标定及改进的PMVS重建方法[J].测绘科学技术学报,2017,34(4).
作者姓名:赵漫丹  吴高昌  闫石  孙国鹏  郝向阳
作者单位:1. 信息工程大学,河南 郑州,450001;2. 东北大学 信息科学与工程学院,辽宁 沈阳,110000;3. 清华大学 自动化系,北京,100084
摘    要:提出一种能够在强约束条件下快速进行相机标定的方法。通过相机间6个相互独立的约束,充分利用系统的几何条件,确定相邻立体相机的固有关系;再以共线方程为基础推导强约束条件下的平差模型,并应用于自检校光束法平差,从而实现多相机系统的快速标定;最后利用改进的PMVS三维重建方法开展标定后系统的人体三维重建。实验表明,通过加入强约束条件,增加平差的多余观测数,提高了标定精度和鲁棒性,对三维重建的精度亦有较大提高,并且该方法可推广到多个相机组成的多相机立体量测系统的标定中。

关 键 词:相机标定  三维重建  立体像对  几何约束  重建系统

Joint Multi-View Camera Calibration and Improved PMVS Reconstruction Method
ZHAO Mandan,WU Gaochang,YAN Shi,SUN Guopeng,HAO Xiangyang.Joint Multi-View Camera Calibration and Improved PMVS Reconstruction Method[J].Journal of Zhengzhou Institute of Surveying and Mapping,2017,34(4).
Authors:ZHAO Mandan  WU Gaochang  YAN Shi  SUN Guopeng  HAO Xiangyang
Abstract:A method is presented for rapid camera calibration under strong constraint conditions in this paper. Through six independent constraints among the cameras, the inherent relationship of adjacent stereo cameras is de-termined based on the geometry of the system. Then on the basis of the collinear equation, the adjustment model is derived under the condition of strong constraint, and applied to the method of self-calibration beam adjustment, so as to realize the rapid calibration of camera system. Finally, human body is reconstructed using the improved PM-VS method through our calibrated system. The experiment results reveal that the proposed method can effectively increase the redundant observations of the calibration adjustment system, and this can improve the accuracy and stability of the calibration. Moreover, the method can also be extended to other stereo camera systems which consist of more than two cameras.
Keywords:camera calibration  3D reconstruction  stereo image pair  geometric constraint  reconstruction system
本文献已被 CNKI 万方数据 等数据库收录!
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