Volume 14 Issue 6
Nov.  2021
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CHEN Tian-ze, GE Bao-zhen, LUO Qi-jun. Pose estimation for free binocular cameras based on reprojection error optimization[J]. Chinese Optics, 2021, 14(6): 1400-1409. doi: 10.37188/CO.2021-0105
Citation: CHEN Tian-ze, GE Bao-zhen, LUO Qi-jun. Pose estimation for free binocular cameras based on reprojection error optimization[J]. Chinese Optics, 2021, 14(6): 1400-1409. doi: 10.37188/CO.2021-0105

Pose estimation for free binocular cameras based on reprojection error optimization

doi: 10.37188/CO.2021-0105
Funds:  Supported by National Natural Science Foundation of China (No. 61535008)
More Information
  • Corresponding author: gebz@tju.edu.cn
  • Received Date: 14 May 2021
  • Rev Recd Date: 02 Jun 2021
  • Available Online: 11 Aug 2021
  • Publish Date: 19 Nov 2021
  • To solve the real-time change of the camera poses caused by the rotation of cameras in free binocular stereo vision, a method for estimating the poses of free binocular cameras based on reprojection error optimization is proposed. The movement paraments of cameras are estimated by decomposing the homography matrix between two adjacent images. Then, the reprojection error of feature points in the overlapping area is calculated, and the objective function is constructed by using the movement parameters as initial values. Finally, the objective function is optimized by the nonlinear optimization algorithm, and the current camera poses are calculated by combining with the optimal movement parameters and the camera poses before rotation. Simulations indicate that the pose estimation error declines with a decrease in reprojection error and the proposed method can converge to a globally optimal solution both rapidly and stably. An experiment of 3D reconstruction of cement models indicates that 3D point clouds of models are generated effectively with the proposed method, the adjacent point clouds are stitched accurately, and the average error of distance between any two points on the stitched point clouds is 1.68%.

     

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  • [1]
    郑圣子, 李湘旭, 孙志超. 新型移动机器人激光测距雷达的研究[J]. 计算机测量与控制,2011,19(5):1094-1097.

    ZHENG SH Z, LI X X, SUN ZH CH. Novel design of low cost mobile robot lazer scanner[J]. Computer Measurement &Control, 2011, 19(5): 1094-1097. (in Chinese)
    [2]
    李肖, 葛宝臻, 罗其俊, 等. 自由双目立体视觉摄像机动态外参数的获取[J]. 计算机应用,2017,37(10):2888-2894. doi: 10.11772/j.issn.1001-9081.2017.10.2888

    LI X, GE B ZH, LUO Q J, et al. Acquisition of camera dynamic extrinsic parameters in free binocular stereo vision system[J]. Journal of Computer Applications, 2017, 37(10): 2888-2894. (in Chinese) doi: 10.11772/j.issn.1001-9081.2017.10.2888
    [3]
    于海, 万秋华, 孙莹, 等. 一种自适应安装的高精度图像式角位移测量装置[J]. 中国光学,2020,13(3):510-516.

    YU H, WAN Q H, SUN Y, et al. A high precision image angular displacement measurement device with self-adaptive installation[J]. Chinese Optics, 2020, 13(3): 510-516. (in Chinese)
    [4]
    SWEENEY C, SATTLER T, HÖLLERER T, et al.. Optimizing the viewing graph for structure-from-motion[C]. 2015 IEEE International Conference on Computer Vision (ICCV), IEEE, 2015: 801-809.
    [5]
    MOULON P, MONASSE P, MARLET R. Global fusion of relative motions for robust, accurate and scalable structure from motion[C]. 2013 IEEE International Conference on Computer Vision, IEEE, 2013: 3248-3255.
    [6]
    ZHU S Y, ZHANG R Z, ZHOU L, et al.. Very large-scale global SfM by distributed motion averaging[C]. 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition, IEEE, 2018: 4568-4577.
    [7]
    ZHUANG B B, CHEONG L F, LEE G H. Baseline desensitizing in translation averaging[C]. 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition, IEEE, 2018: 4539-4547.
    [8]
    NISTER D. An efficient solution to the five-point relative pose problem[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2004, 26(6): 756-770. doi: 10.1109/TPAMI.2004.17
    [9]
    杜瑞建, 葛宝臻, 陈雷. 多视高分辨率纹理图像与双目三维点云的映射方法[J]. 中国光学,2020,13(5):1055-1064. doi: 10.37188/CO.2020-0034

    DU R J, GE B ZH, CHEN L. Texture mapping of multi-view high-resolution images and binocular 3D point clouds[J]. Chinese Optics, 2020, 13(5): 1055-1064. (in Chinese) doi: 10.37188/CO.2020-0034
    [10]
    SNAVELY N, SEITZ S M, SZELISKI R. Photo tourism: exploring photo collections in 3D[J]. ACM Transactions on Graphics, 2006, 25(3): 835-846. doi: 10.1145/1141911.1141964
    [11]
    WU CH CH. Towards linear-time incremental structure from motion[C]. 2013 International Conference on 3D Vision - 3DV 2013, IEEE, 2013: 127-134.
    [12]
    SCHONBERGER J L, FRAHM J M. Structure-from-motion revisited[C]. 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), IEEE, 2016: 4104-4113.
    [13]
    LEPETIT V, MORENO-NOGUER F, FUA P. EPnP: an accurate O(n) solution to the PnP problem[J]. International Journal of Computer Vision, 2009, 81(2): 155-166. doi: 10.1007/s11263-008-0152-6
    [14]
    PENATE-SANCHEZ A, ANDRADE-CETTO J, MORENO-NOGUER F. Exhaustive linearization for robust camera pose and focal length estimation[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2013, 35(10): 2387-2400. doi: 10.1109/TPAMI.2013.36
    [15]
    李正炜, 王建立, 吴元昊, 等. 基于单站地基望远镜的空间目标姿态估计方法[J]. 中国光学,2016,9(3):371-378. doi: 10.3788/co.20160903.0371

    LI ZH W, WANG J L, WU Y H, et al. Method of attitude estimation for space object based on single ground-based telescope[J]. Chinese Optics, 2016, 9(3): 371-378. (in Chinese) doi: 10.3788/co.20160903.0371
    [16]
    ENGEL J, SCHÖPS T, CREMERS D. LSD-SLAM: large-scale direct monocular SLAM[C]. Proceedings of the 13th European Conference, Springer, 2014: 834-849.
    [17]
    张可, 杨灿坤, 周春平, 等. 无人机视频图像运动目标检测算法综述[J]. 液晶与显示,2019,34(1):98-109. doi: 10.3788/YJYXS20193401.0098

    ZHANG K, YANG C K, ZHOU CH P, et al. Review of moving target detection algorithms for UAV video images[J]. Chinese Journal of Liquid Crystals and Displays, 2019, 34(1): 98-109. (in Chinese) doi: 10.3788/YJYXS20193401.0098
    [18]
    LI Y Y, BRASCH N, WANG Y D, et al. Structure-SLAM: low-drift monocular SLAM in indoor environments[J]. IEEE Robotics and Automation Letters, 2020, 5(4): 6583-6590. doi: 10.1109/LRA.2020.3015456
    [19]
    CUI H N, SHEN SH H, GAO X, et al.. Batched incremental structure-from-motion[C]. 2017 International Conference on 3D Vision (3DV), IEEE, 2017: 205-214.
    [20]
    周单, 董秀成, 张帆, 等. 基于自适应重投影误差单目位姿优化算法[J]. 激光与光电子学进展,2019,56(2):021204.

    ZHOU D, DONG X CH, ZHANG F, et al. Monocular pose optimization algorithm based on adaptive reprojection error[J]. Laser &Optoelectronics Progress, 2019, 56(2): 021204. (in Chinese)
    [21]
    赵亚凤, 胡峻峰. 一种双正交消隐点的双目相机标定方法[J]. 液晶与显示,2016,31(10):958-966. doi: 10.3788/YJYXS20163110.0958

    ZHAO Y F, HU J F. Binocular self calibration using two pairs of orthogonal vanishing points[J]. Chinese Journal of Liquid Crystals and Displays, 2016, 31(10): 958-966. (in Chinese) doi: 10.3788/YJYXS20163110.0958
    [22]
    HARTLEY R, ZISSERMAN A. Multiple View Geometry in Computer Vision[M]. 2nd ed. Cambridge: Cambridge University Press, 2003.
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