Xiao-fang KONG, Qian CHEN, Guo-hua GU, et al. GPS-based binocular camera calibration and space coordinate reconstruction[J]. Optics and precision engineering, 2017, 25(2): 485-492.
DOI:
Xiao-fang KONG, Qian CHEN, Guo-hua GU, et al. GPS-based binocular camera calibration and space coordinate reconstruction[J]. Optics and precision engineering, 2017, 25(2): 485-492. DOI: 10.3788/OPE.20172402.0485.
GPS-based binocular camera calibration and space coordinate reconstruction
To alleviate the dependence of binocular camera on high-accuracy target during calibration
achieve precise calibration of camera parameters and implement high-accuracy reconstruction of space coordinates
a GPS-based method for binocular camera calibration and space coordinate reconstruction is introduced
in which GPS instead of 2D or 3D targets is used to carry out the camera calibration.Through arbitrarily moving the GPS at the shooting site
multiple images with GPS are shot by calibrated camera; based on the mapping relation between spatial 3D coordinates and 2D image coordinates
the binocular camera parameters are calibrated and precise reconstruction of space coordinates is carried out by combining camera imaging model with calibration theory of binocular camera; finally
the reconstruction accuracy is tested in accordance with relative distance error between the space reconstruction coordinates and actual measurement values. The reconstruction results of proposed method are compared with the true data obtained by the GPS
and the results indicate that the method can help binocular camera to overcome the dependence on high-accuracy targets and equip the space reconstruction coordinates with relatively high accuracy
with a relative distance error decreased from 1.56% to 0.52%.
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references
TSAI R Y. An efficient and accurate camera calibration technique for 3D machine vision[J]. Proc.IEEE Conf.on Computer Vision & Pattern Recognition, 1986:364-374.
WANG Q H, DENG H. 3D pickup and display method of integral imaging[J]. Chinese Journal of Liquid Crystals and Displays, 2014, 29(2):153-158. (in Chinese)
LI R, DENG CH J, ZOU K. 3D reconstruction method based on single image data by MRF[J]. Chinese Journal of Liquid Crystals and Displays, 2016, 31(3):301-309. (in Chinese)
YANG Y, KAN L Y, YU J, et al.. Face 3D reconstruction based on laser scanning system[J]. Infrared and Laser Engineering, 2014, 43(12):3946-3950. (in Chinese)
XIE Y CH, CHEN J, YAN B, et al.. Distance feature set intersection for 3D feature matching[J]. Infrared and Laser Engineering, 2014, 43(8):2728-2732. (in Chinese)
FAUGERAS O D, LUONG Q T, MAYBANK S J. Camera self-calibration:Theory and experiments[C]. ECCV, 2012:321-334.
HEI ZH J, ZHOU Q SH, QU J G, et al.. Precision estimation of GPS RTK survey production and its application discussion[J]. Journal of Harbin Institute of Technology, 2006, 38(8):1295-1298. (in Chinese)
LI ZH Y. The application of GPS in coordinate transformation in target tracking[J]. Computer Programming Skills & Maintenance, 2012(19):7-8. (in Chinese)
吴丹.计算机视觉中相机标定算法研究[D].武汉:华中科技大学, 2014.
WU D. Research on camera calibration in computer vision[D].Wuhan:Huazhong University of Science and Technology, 2014. (in Chinese)
HARTLEY R, ZISSERMAN A. Multiple View Geometry in Computer Vision[M]. Cambridge university press, 2003.
潘静, 李为民.基于3D立体靶标的摄像机标定算法[J].机械与电子, 2007(5):3-5.
PAN J, LI W M. Algorithm of implementing 3D calibration board-based camera calibration[J]. Machinery & Electronics, 2007(5):3-5. (in Chinese)