强约束条件下环绕式相机标定方法
在计算机视觉和摄影测量领域，经常应用多视角图像对场景进行高精度的三维重建，相机内参数和相机间固定相对关系的高精度标定是关键环节，提出一种能够在强约束条件下快速进行相机标定的方法。通过相机间六个相互独立的约束，充分利用系统的几何条件，确定固有关系，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，开展相邻立体相机的匹配，实现多相机系统的快速标定。通过实验验证了加强约束条件后，该方法加大了平差的多余观测数，提高了标定精度和鲁棒性。建立了相机标定系统，提出了在强约束条件下快速进行相机标定的方法，展开了人体三维重建研究，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。...
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| Published in | 计算机应用研究 Vol. 34; no. 11; pp. 3463 - 3467 |
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| Main Author | |
| Format | Journal Article |
| Language | Chinese |
| Published |
信息工程大学导航与空天目标工程学院,郑州,450001%清华大学自动化系,北京,100084%东北大学信息科学与工程学院,沈阳,110000
2017
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| Subjects | |
| Online Access | Get full text |
| ISSN | 1001-3695 |
| DOI | 10.3969/j.issn.1001-3695.2017.11.059 |
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| Abstract | 在计算机视觉和摄影测量领域，经常应用多视角图像对场景进行高精度的三维重建，相机内参数和相机间固定相对关系的高精度标定是关键环节，提出一种能够在强约束条件下快速进行相机标定的方法。通过相机间六个相互独立的约束，充分利用系统的几何条件，确定固有关系，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，开展相邻立体相机的匹配，实现多相机系统的快速标定。通过实验验证了加强约束条件后，该方法加大了平差的多余观测数，提高了标定精度和鲁棒性。建立了相机标定系统，提出了在强约束条件下快速进行相机标定的方法，展开了人体三维重建研究，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。 |
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| AbstractList | TP391.41; 在计算机视觉和摄影测量领域,经常应用多视角图像对场景进行高精度的三维重建,相机内参数和相机间固定相对关系的高精度标定是关键环节,提出一种能够在强约束条件下快速进行相机标定的方法.通过相机间六个相互独立的约束,充分利用系统的几何条件,确定固有关系,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,开展相邻立体相机的匹配,实现多相机系统的快速标定.通过实验验证了加强约束条件后,该方法加大了平差的多余观测数,提高了标定精度和鲁棒性.建立了相机标定系统,提出了在强约束条件下快速进行相机标定的方法,展开了人体三维重建研究,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. 在计算机视觉和摄影测量领域，经常应用多视角图像对场景进行高精度的三维重建，相机内参数和相机间固定相对关系的高精度标定是关键环节，提出一种能够在强约束条件下快速进行相机标定的方法。通过相机间六个相互独立的约束，充分利用系统的几何条件，确定固有关系，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，开展相邻立体相机的匹配，实现多相机系统的快速标定。通过实验验证了加强约束条件后，该方法加大了平差的多余观测数，提高了标定精度和鲁棒性。建立了相机标定系统，提出了在强约束条件下快速进行相机标定的方法，展开了人体三维重建研究，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。 |
| Abstract_FL | 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. |
| Author | 赵漫丹 刘烨斌 吴高昌 郝向阳 |
| AuthorAffiliation | 信息工程大学导航与空天目标工程学院,郑州450001 清华大学自动化系,北京100084 东北大学信息科学与工程学院,沈阳110000 |
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| Author_FL | Hao Xiangyang Liu Yebin Wu Gaochang Zhao Mandan |
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| ClassificationCodes | TP391.41 |
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| Copyright | Copyright © Wanfang Data Co. Ltd. All Rights Reserved. |
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| Keywords | 相机标定 3D reconstruction camera calibration stereo image pair 立体像对 geometric constraint 三维重建 几何约束 |
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| Notes | 51-1196/TP Zhao Mandan1 , Liu Yebin2, Wu Gaochang3 , Hao Xiangyang1 （1. School of Navigation ＆ Aerospace Engineering, Information Engineering University, Zhengzhou 450001, China; 2. Dept. of Automation, Tsinghua University, Beijing 100084, China; 3. College of Information Science ＆ Engineering, Northeastern University, Shenyang 110000, China ） camera calibration; 3D reconstruction; stereo image pair; geometric constraint 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 meth |
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| PublicationYear | 2017 |
| Publisher | 信息工程大学导航与空天目标工程学院,郑州,450001%清华大学自动化系,北京,100084%东北大学信息科学与工程学院,沈阳,110000 |
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| Snippet | 在计算机视觉和摄影测量领域，经常应用多视角图像对场景进行高精度的三维重建，相机内参数和相机间固定相对关系的高精度标定是关键环节，提出一种能够在强约束条件下快速... TP391.41; 在计算机视觉和摄影测量领域,经常应用多视角图像对场景进行高精度的三维重建,相机内参数和相机间固定相对关系的高精度标定是关键环节,提出一种能够在强约束条件... |
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| SubjectTerms | 三维重建 几何约束 相机标定 立体像对 |
| Title | 强约束条件下环绕式相机标定方法 |
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