Opto-Electronic Engineering, Volume. 45, Issue 1, 170522(2018)

Monocular position and pose measurement method based on surface topography of object

Guan Yin1,2, Wang Xiangjun1,2, Yin Lei1,2, and Wan Zijing1,2
Author Affiliations
  • 1[in Chinese]
  • 2[in Chinese]
  • show less
    References(16)

    [1] [1] Miao X K, Zhu F, Hao Y M. Pose measurement method for non-cooperative space vehicle using multiple non-overlapping cameras[J]. Infrared and Laser Engineering, 2013, 42 (3): 709– 715.

    [2] [2] Liu W, Chen L, Ma X, et al. Monocular position and pose measurement method for high-speed targets based on colored images[J]. Chinese Journal of Scientific Instrument, 2016, 37 (3): 675–682.

    [3] [3] Song W, Zhou Y. Estimation of monocular vision 6-DOF pose based on CAD model[J]. Optics and Precision Engineering, 2016, 24 (4): 882–891.

    [4] [4] Rublee E, Rabaud V, Konolige K, et al. ORB: an efficient alternative to SIFT or SURF[C]//Proceedings of 2011 IEEE International Conference on Computer Vision, 2012: 2564–2571.

    [5] [5] Li S Q, Xu C, Xie M. A Robust O(n) solution to the perspective-n-point problem[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2012, 34 (7): 1444–1450.

    [6] [6] Heinly J, Dunn E, Frahm J M. Correcting for duplicate scene structure in sparse 3D reconstruction[C]//Proceedings of the 13th European Conference on Computer Vision, 2014: 780– 795.

    [7] [7] Wu C C. Towards linear-time incremental structure from motion[C]//Proceedings of 2013 International Conference on 3D Vision-3DV, 2013: 127–134.

    [8] [8] Hartley R, Zisserman A. Multiple View Geometry in Computer Vision[M]. 2nd ed. Cambridge: Cambridge University Press, 2003.

    [9] [9] Triggs B, Mclauchlan P F, Hartley R I, et al. Bundle adjustment—a modern synthesis[C]//Proceedings of the International Workshop on Vision Algorithms: Theory and Practice, 1999: 298–372.

    [10] [10] Furukawa Y, Ponce J. Accurate, dense, and robust multiview stereopsis[C]//Proceedings of IEEE Conference on Computer Vision and Pattern Recognition, 2007: 1–8.

    [11] [11] Yu Y N. Research on anti-disturbance performance of adaptive aerodynamic shape for hovering micro air vehicle[D]. Tianjin: Tianjin University, 2012.

    [12] [12] Lowe D G. Object recognition from local scale-invariant features[C]//Proceedings of the Seventh IEEE International Conference on Computer Vision, 1999, 2: 1150–1157

    [13] [13] Men H, Gebre B, Puchiraju K. Color point cloud registration with 4D ICP algorithm[C]//Proceedings of 2011 IEEE International Conference on Robotics and Automation, 2011: 1511–1516.

    [14] [14] Bian J W, Lin W Y, Matsushita Y, et al. GMS: grid-based motion statistics for fast, ultra-robust feature correspondence[C]//Proceedings of 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2017: 2828–2837.

    [15] [15] Mur-artal R, Montiel J M M, Tardos J D. Orb-slam: a versatile and accurate monocular SLAM system[J]. IEEE Transactions on Robotics, 2015, 31 (5): 1147–1163.

    [16] [16] Mur-artal R, Tardos J D. Orb-slam2: an open-source SLAM system for monocular, stereo, and RGB-D cameras[J]. IEEE Transactions on Robotics, 2017, 33 (5): 1255–1262.

    CLP Journals

    [1] Si Minghua, Wang Weiming, Zhang Yong, Wu Hao. Research on dynamic angle measurement method based on electro-optical servo platform[J]. Opto-Electronic Engineering, 2019, 46(10): 180445

    Tools

    Get Citation

    Copy Citation Text

    Guan Yin, Wang Xiangjun, Yin Lei, Wan Zijing. Monocular position and pose measurement method based on surface topography of object[J]. Opto-Electronic Engineering, 2018, 45(1): 170522

    Download Citation

    EndNote(RIS)BibTexPlain Text
    Save article for my favorites
    Paper Information

    Category: Article

    Received: Sep. 27, 2017

    Accepted: --

    Published Online: May. 3, 2018

    The Author Email:

    DOI:10.12086/oee.2018.170522

    Topics