Xie Guanghui, Sun Junhua, Yang Zhen, et al. 3D data registration method for vision measurement[J]. Journal of Beijing University of Aeronautics and Astronautics, 2009, 35(7): 877-881. (in Chinese)
Citation: Xie Guanghui, Sun Junhua, Yang Zhen, et al. 3D data registration method for vision measurement[J]. Journal of Beijing University of Aeronautics and Astronautics, 2009, 35(7): 877-881. (in Chinese)

3D data registration method for vision measurement

  • Received Date: 06 Jun 2008
  • Publish Date: 31 Jul 2009
  • A 3D data registration method was proposed for vision measurement using mark points as global measurement control points. Mark points were attached to the measured objects and one or more baseline rulers were put in the measured area. The images of mark points and the baseline rulers were captured by a digital camera from different viewpoints, by which the coordinate frame transformations between viewpoints were estimated. Using the stereo vision model, the local coordinates of the mark points were determined, and then converted at the global coordinate frame, forming the global measurement control points. Scanning different parts of the object at different positions, the vision sensor obtained the coordinates of some mark points in the local coordinate frame of the sensor. The transformation from the local to the global coordinate frame was computed using at least three non-collinear mark points, thus the 3D data acquired by the sensor at different positions were integrated into the global coordinate frame. The proposed method is convenient and applicable in field measurements. Experimental results show that the registration error in x, y, z axis are 0.03mm, 0.02mm, 0.07mm respectively.

     

  • [1] 张顺德,卢秉恒,丁玉成.光学三维型面分区域测量数据的拼接研究[J].中国激光, 2001, 28(6):533-536 Zhang Shunde, Lu Bingheng, Ding Yucheng. Study on data registration of subdivided shaped in optical 3-D profilometry[J]. Chinese Journal of Lasers, 2001, 28(6):533-536(in Chinese) [2] Besl P J, McKay N D. A method for registration of 3-D shapes[J]. IEEE Transaction on Pattern Analysis and Machine Intelligence, 1992, 14(2):239-256 [3] Zinsser T, Schnidt H, Niermann J. A refined ICP algorithm for robust 3-d correspondences estimation Luis T. International Conference on Image Processing. Barcelona: IEEE, 2003:695-698 [4] 孙军华,张广军,魏振忠.基于平面靶标的多视点云对齐方法[J]. 北京航空航天大学学报, 2006, 32(10):1231-1234 Sun Junhua, Zhang Guangjun, Wei Zhenzhong. Multi-view point clouds registration method based on planar target [J]. Journal of Beijing University of Aeronautics and Astronautics, 2006, 32(10):1231-1234 (in Chinese) [5] Sharp G C, Lee S W, Wehe D K. Toward multiview registration in frame space Wook H K. In IEEE International Conference on Robotics and Automation. Seoul: IEEE, 2001:3542-3547 [6] Pulli K. Multiview registration for large data sets Marc Rioux. In International Conference on 3D Digital Imaging and Modeling. Ottawa:IEEE Computer Society, 1999:160-168 [7] Carbone V, Carocci M, Savio E, et al. Combination of a vision system and a coordinate measuring machine for the reverse engineering of freeform surfaces[J]. International Journal of Advanced Manufacturing Technology, 2001, 17(4):263-271 [8] Zhang Zhengyou. A flexible new technique for camera calibration . NSR-TR-98-71, 1998
  • Relative Articles

    [1]TIAN Bin, YANG Lichun, MEI Yuan, DANG Jianwu. Unsupervised Single-response Estimation for Integrating In-domain Information Under Large Baselines[J]. Journal of Beijing University of Aeronautics and Astronautics. doi: 10.13700/j.bh.1001-5965.2024.0659
    [2]XU G,JIN J C,TANG Z H,et al. Semantic part based single-view implicit field for 3D shape reconstruction technology[J]. Journal of Beijing University of Aeronautics and Astronautics,2025,51(3):833-844 (in Chinese). doi: 10.13700/j.bh.1001-5965.2023.0089.
    [3]WANG L Y,HE H F,HE Y M,et al. Three-dimensional polarization filtering method of generalized oblique projection based on SVT[J]. Journal of Beijing University of Aeronautics and Astronautics,2025,51(2):633-643 (in Chinese). doi: 10.13700/j.bh.1001-5965.2023.0019.
    [4]MA J L,CUI Q L,MA Z P,et al. Self-adjusting graph convolution UNet method for 3D human pose estimation[J]. Journal of Beijing University of Aeronautics and Astronautics,2025,51(1):63-74 (in Chinese). doi: 10.13700/j.bh.1001-5965.2022.0969.
    [5]LIU Y H,HUANG Y,TAN H,et al. On-line prediction method of wing flexible baseline based on autoregressive model[J]. Journal of Beijing University of Aeronautics and Astronautics,2024,50(11):3426-3433 (in Chinese). doi: 10.13700/j.bh.1001-5965.2022.0865.
    [6]LI J Q,FANG Q,FAN T C,et al. Fatigue detection of facial 3D physiological feature points in sleep deprivation[J]. Journal of Beijing University of Aeronautics and Astronautics,2024,50(9):2753-2762 (in Chinese). doi: 10.13700/j.bh.1001-5965.2022.0733.
    [7]WANG Jianzhong, LIANG Feida. Research on Three-Dimensional Track Planning for Multi-UAV Approach in Free Airspace Environment[J]. Journal of Beijing University of Aeronautics and Astronautics. doi: 10.13700/j.bh.1001-5965.2024.0496
    [8]SUN Bo, ZHANG Wenpeng, WU Zexuan, SU Yebo, WEI Ming. Three-dimensional path planning of UAV based on multi-strategy golf optimization algorithm[J]. Journal of Beijing University of Aeronautics and Astronautics. doi: 10.13700/j.bh.1001-5965.2024.0429
    [9]WANG F Y,MENG X Y,ZHANG H K. UAV three-dimensional path planning based on ε-level bat algorithm[J]. Journal of Beijing University of Aeronautics and Astronautics,2024,50(5):1593-1603 (in Chinese). doi: 10.13700/j.bh.1001-5965.2022.0502.
    [10]FAN X,CHENG Z H,LI S X,et al. Effect of critical eccentricity on forming accuracy of tubes in 3D free bending process[J]. Journal of Beijing University of Aeronautics and Astronautics,2024,50(1):208-215 (in Chinese). doi: 10.13700/j.bh.1001-5965.2022.0221.
    [11]XIA J Y,ZHOU Z,WANG Z P,et al. Three-dimensional transition corridor of tilt-propulsion UAV[J]. Journal of Beijing University of Aeronautics and Astronautics,2024,50(3):886-895 (in Chinese). doi: 10.13700/j.bh.1001-5965.2022.0284.
    [12]ZHAO J C,LOU C Y,MIAO J G,et al. 3D imaging method based on scanning rotation synchronous motion[J]. Journal of Beijing University of Aeronautics and Astronautics,2024,50(3):796-802 (in Chinese). doi: 10.13700/j.bh.1001-5965.2022.0266.
    [13]ZUO B X,ZHOU B,DAI M L. Measurement of three-dimensional temperature and soot volume fraction for RP-3 jet fuel flame[J]. Journal of Beijing University of Aeronautics and Astronautics,2024,50(4):1273-1281 (in Chinese). doi: 10.13700/j.bh.1001-5965.2022.0415.
    [14]MA Qing-lu, DING Xue-qin, HUANG Xiao-xiao, ZOU Zheng. 3D point cloud segmentation method of road scene based on adaptive graph convolution[J]. Journal of Beijing University of Aeronautics and Astronautics. doi: 10.13700/j.bh.1001-5965.2023.0686
    [15]WEN C,DONG W H,XIE W J,et al. Multi-UAVs 3D cooperative curve path planning method based on CEA-GA[J]. Journal of Beijing University of Aeronautics and Astronautics,2023,49(11):3086-3099 (in Chinese). doi: 10.13700/j.bh.1001-5965.2021.0787.
    [16]ZHANG K Q,ZHOU X F,MEN X H,et al. Three-dimensional integrated guidance and control design with fixed-time convergence[J]. Journal of Beijing University of Aeronautics and Astronautics,2023,49(4):842-852 (in Chinese). doi: 10.13700/j.bh.1001-5965.2021.0360.
    [17]PAN D,ZHENG J H,GAO D. Fast 3D path planning of UAV based on 2D connected graph[J]. Journal of Beijing University of Aeronautics and Astronautics,2023,49(12):3419-3431 (in Chinese). doi: 10.13700/j.bh.1001-5965.2022.0147.
    [18]WANG Qian, WANG Xiang-yu, JIAO Jun, ZHANG Zi-jian, ZHANG Jian. High-altitude long-endurance solar-powered UAV 3D full coverage flight path planning[J]. Journal of Beijing University of Aeronautics and Astronautics. doi: 10.13700/j.bh.1001-5965.2022-0748
    [19]YANG Chao, JIANG Yu, WU Zhigang. Numerical simulation of skipping motion of three-dimensional structure based on boundary element method[J]. Journal of Beijing University of Aeronautics and Astronautics, 2022, 48(9): 1678-1691. doi: 10.13700/j.bh.1001-5965.2022.0141
    [20]XU Aiming, HUANG Yuxing, SHEN Qiu. Hyperspectral image compression method based on 3D Saab transform[J]. Journal of Beijing University of Aeronautics and Astronautics, 2022, 48(8): 1505-1514. doi: 10.13700/j.bh.1001-5965.2021.0521
  • 加载中

Catalog

    通讯作者: 陈斌, bchen63@163.com
    • 1. 

      沈阳化工大学材料科学与工程学院 沈阳 110142

    1. 本站搜索
    2. 百度学术搜索
    3. 万方数据库搜索
    4. CNKI搜索

    Article Metrics

    Article views(3031) PDF downloads(1446) Cited by()
    Proportional views
    Related

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return