High precision measurement and 3D reconstruction of non-cooperative spacecraft based on binocular vision

Guoliang Hu; Zuofeng Zhou; Jianzhong Cao; Huimin Huang

doi:10.1117/12.2503049

9 August 2018 High precision measurement and 3D reconstruction of non-cooperative spacecraft based on binocular vision

Guoliang Hu, Zuofeng Zhou, Jianzhong Cao, Huimin Huang

Proceedings Volume 10806, Tenth International Conference on Digital Image Processing (ICDIP 2018); 108063E (2018) https://doi.org/10.1117/12.2503049
Event: Tenth International Conference on Digital Image Processing (ICDIP 2018), 2018, Shanghai, China

Abstract

In this paper, we propose an automatic method for high precision measurement and 3D reconstruction of non-cooperative spacecraft based on binocular vision. The Zhengyou Zhang’s calibration method was implemented to calibrate the camera’s internal and external parameters; the 8-point algorithm was adopted to compute the fundamental and essential matrix between the cameras; we got the relative position of binocular camera by the method of the SVD of essential matrix; a stereo matching algorithm depending on the Semi-Global Matching was adopted for disparity map. Subsequently, the cloud information of world points was calculated through least square method. In our experiment, a complex outdoor scene was used. We made a satellite model which has the same size of the real one. To get the accurate position and angle of the spacecraft, the ellipse marks on the spacecraft was exacted effectively under three constraints. The experimental results show that the spacecraft model can be reconstructed accurately by our method. The method contributes the error rate of 1% for the test length and 3% for the test angle in 1 meter.

Citation Download Citation

Guoliang Hu, Zuofeng Zhou, Jianzhong Cao, and Huimin Huang "High precision measurement and 3D reconstruction of non-cooperative spacecraft based on binocular vision", Proc. SPIE 10806, Tenth International Conference on Digital Image Processing (ICDIP 2018), 108063E (9 August 2018); https://doi.org/10.1117/12.2503049

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