Electronics and Electrical Engineering and Control

Fast and precise location measurement of joint multiple ellipses based on inverse transformation of perspective projection

  • Chuankai LIU ,
  • Junxiong LEI ,
  • Qian LIU ,
  • Jun SUN ,
  • Jianhua SU ,
  • Xiaodong HU ,
  • Dongsheng LI
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  • 1.School of Electrical Engineering and Automation,Jiangxi University of Science and Technology,  Ganzhou 341000,China
    2.Beijing Aerospace Control Center,Beijing 100190,China
    3.Key Laboratory of Science and Technology on Aerospace Flight Dynamics,Beijing 100190,China
    4.Institute of Automation,Chinese Academy of Sciences,Beijing 100194,China
E-mail: ckliu2005@126.com

Received date: 2022-06-30

  Revised date: 2022-08-04

  Accepted date: 2022-08-12

  Online published: 2022-08-17

Supported by

National Natural Science Foundation of China(61972020);Foundation of Laboratory(6142210200307)

Abstract

Cooperative target measurement is an important positioning method for many kinds of operation tasks such as spacecraft rendering, docking, capture and maintenance. However, the current positioning method based on cooperative target has some problems, such as complex operation of target extraction and vulnerability to interferences, which result in poor timeliness, stability, and positioning accuracy. To solve the above problems, a location method of circular cooperative target is proposed based on inverse transformation of perspective projection. Firstly, target contour points are projected into the space by inverse projection of the imaging beam to form a plurality of elliptical cones composed of ray clusters. Then, an optimization model of position and posture residuals is constructed based on the relative relationship between multiple circular outlines of the cooperative target and elliptical conical ray clusters. Finally, an accurate pose of the target is obtained by the Levenberg-Marquadt algorithm. The measurement proposed does not need to fit the ellipse according to target contour points, which improves the calculation efficiency and avoids the accuracy error caused by ellipse fitting. The joint adjustment of multiple ray clusters greatly reduces the influence of noise and error points on position and posture accuracy, and improves the robustness and anti-interference of the algorithm. The experimental results show that the proposed algorithm has high accuracy, computing efficiency and robustness at different distances and noise environments, and can provide strong support for rapid, stable and accurate visual measurement of cooperative targets in the scenes of capture and rendezvous and docking of the space manipulator.

Cite this article

Chuankai LIU , Junxiong LEI , Qian LIU , Jun SUN , Jianhua SU , Xiaodong HU , Dongsheng LI . Fast and precise location measurement of joint multiple ellipses based on inverse transformation of perspective projection[J]. ACTA AERONAUTICAET ASTRONAUTICA SINICA, 2023 , 44(12) : 327731 -327731 . DOI: 10.7527/S1000-6893.2022.27731

References

1 REDDY T. Analysis and CDNA microarray image segmentation based on Hough circle transform[J]. International Journal of Recent Technology and Engineering (IJRTE)20197(5c): 53-55.
2 陈燕新, 戚飞虎. 一种新的基于随机Hough变换的椭圆检测方法[J]. 红外与毫米波学报200019(1): 43-47.
  CHEN Y X, QI F H. A new ellipse detection method using randomized Hough transform[J]. Journal of Infrared and Millimeter Waves200019(1): 43-47 (in Chinese).
3 DE MARCO T, CAZZATO D, LEO M, et al. Randomized circle detection with isophotes curvature analysis[J]. Pattern Recognition201548(2): 411-421.
4 屈稳太. 基于弦中点Hough变换的椭圆检测方法[J]. 浙江大学学报(工学版)200539(8): 1132-1135, 1196.
  QU W T. Chord midpoint Hough transform based ellipse detection method[J]. Journal of Zhejiang University (Engineering Science)200539(8): 1132-1135, 1196 (in Chinese).
5 张汝祥, 陈德林, 季江伟, 等. 基于圆对称性和随机选点改进霍夫变换圆检测算法[J]. 科技创新与应用2019(14): 41-43.
  ZHANG R X, CHEN D L, JI J W, et al. Improved Hough transform circle detection algorithm based on circle symmetry and random selection[J]. Technology Innovation and Application2019(14): 41-43 (in Chinese).
6 朱正伟, 宋文浩, 焦竹青, 等. 基于随机Hough变换改进的快速圆检测算法[J]. 计算机工程与设计201839(7): 1978-1983.
  ZHU Z W, SONG W H, JIAO Z Q, et al. Fast circle detection algorithm based on improved randomized Hough transform[J]. Computer Engineering and Design201839(7): 1978-1983 (in Chinese).
7 KIM E, HASEYAMA M, KITAJIMA H. Fast and robust ellipse extraction from complicated images[C]∥ Proceedings of the First International Conference on Information Technology and Applications. 2002: 357-362.
8 LU C S, XIA S Y, SHAO M, et al. Arc-support line segments revisited: An efficient high-quality ellipse detection[J]. IEEE Transactions on Image Processing202029: 768-781.
9 MENG C, LI Z X, BAI X Z, et al. Arc adjacency matrix-based fast ellipse detection[J]. IEEE Transactions on Image Processing202029: 4406-4420.
10 徐伟高. 基于单目视觉的位姿测量关键技术研究[D]. 西安: 中国科学院大学(中国科学院西安光学精密机械研究所), 2016: 6-7.
  XU W G. Key technology research on pose measurement based on monocular vision[D]. Xi’an: Xi’an Institute of Optics and Precision Mechanics, Chinese Academy of Sciences, 2016: 6-7 (in Chinese).
11 王波, 胡浩, 张彩霞, 等. P3P问题多解现象的普遍性[J]. 中国科学: 信息科学201747(4): 482-491.
  WANG B, HU H, ZHANG C X, et al. Generality of the multi-solution phenomenon in the P3P problem[J]. Scientia Sinica (Informationis)201747(4): 482-491 (in Chinese).
12 BUJNAK M, KUKELOVA Z, PAJDLA T. A general solution to the P4P problem for camera with unknown focal length[C]∥ 2008 IEEE Conference on Computer Vision and Pattern Recognition. Piscataway: IEEE Press, 2008: 1-8.
13 ABDEL-AZIZ Y I, KARARA H M. Direct linear transformation into object space coordinates in close-range photogrammetry[C]∥Proceedings of Symp. Close-Range Photogrammetry, 1971: 1-18.
14 LU C P, HAGER G D, MJOLSNESS E. Fast and globally convergent pose estimation from video images[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence200022(6): 610-622.
15 MORENO-NOGUER F, LEPETIT V, FUA P. Accurate non-iterative On) solution to the PnP problem[C]∥ 2007 IEEE 11th International Conference on Computer Vision. Piscataway: IEEE Press, 2007: 1-8.
16 HESCH J A, ROUMELIOTIS S I. A direct least-squares (DLS) method for PnP[C]∥ 2011 International Conference on Computer Vision. Piscataway: IEEE Press, 2012: 383-390.
17 温卓漫. 复杂场景下合作靶标的准确快速识别与定位[D]. 长春: 中国科学院长春光学精密机械与物理研究所, 2017.
  WEN Z M. Accurate and fast identification and localization of A cooperative target in complex background[D]. Changchun: Changchun Institute of Optics, Fine Mechanics and Physics, Chinese Academy of Sciences, 2017 (in Chinese).
18 刘传凯, 李东升, 王俊魁, 等. 基于双目椭圆特征的月面采样机械臂末端位姿精确测量方法[J]. 中国科学: 技术科学202151(12): 1453-1464.
  LIU C K, LI D S, WANG J K, et al. Precise pose measurement of lunar sampling manipulator based on binocular ellipse feature[J]. Scientia Sinica (Technologica)202151(12): 1453-1464 (in Chinese).
19 李大明, 饶炜, 胡成威, 等. 空间站机械臂关键技术研究[J]. 载人航天201420(3): 238-242.
  LI D M, RAO W, HU C W, et al. Key technology review of the research on the space station manipulator[J]. Manned Spaceflight201420(3): 238-242 (in Chinese).
20 温卓漫, 王延杰, 邸男, 等. 基于合作靶标的在轨手眼标定[J]. 仪器仪表学报201435(5): 1005-1012.
  WEN Z M, WANG Y J, DI N, et al. On-orbit hand-eye calibration using cooperative target[J]. Chinese Journal of Scientific Instrument201435(5): 1005-1012 (in Chinese).
21 通过末端执行器与目标适配器之间的对接与分离,中国空间站机械臂可以实现舱外大范围爬行,辅助航天员出舱活动[EB/OL]. .
  Through the docking and separation between the end effector and the target adapter, the robotic arm of the Chinese space station can achieve a wide range of extravehicular crawling and assist astronauts in extravehicular activities[EB/OL]. (in Chinese).
22 LI G, CAO C C, GE J, et al. Defects detection of pharmaceutical blister packaging based on shape template matching[J]. Applied Mechanics and Materials2015731: 426-429.
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