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Proceedings Paper

Camera calibration method of binocular stereo vision based on OpenCV
Author(s): Wanzhen Zhong; Xiaona Dong
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Paper Abstract

Camera calibration, an important part of the binocular stereo vision research, is the essential foundation of 3D reconstruction of the spatial object. In this paper, the camera calibration method based on OpenCV (open source computer vision library) is submitted to make the process better as a result of obtaining higher precision and efficiency. First, the camera model in OpenCV and an algorithm of camera calibration are presented, especially considering the influence of camera lens radial distortion and decentering distortion. Then, camera calibration procedure is designed to compute those parameters of camera and calculate calibration errors. High-accurate profile extraction algorithm and a checkboard with 48 corners have also been used in this part. Finally, results of calibration program are presented, demonstrating the high efficiency and accuracy of the proposed approach. The results can reach the requirement of robot binocular stereo vision.

Paper Details

Date Published: 8 October 2015
PDF: 6 pages
Proc. SPIE 9675, AOPC 2015: Image Processing and Analysis, 96752C (8 October 2015); doi: 10.1117/12.2202186
Show Author Affiliations
Wanzhen Zhong, Xi’an Institute of Optics and Precision Mechanics (China)
Univ. of Chinese Academy of Sciences (China)
Xiaona Dong, Xi'an Institute of Optics and Precision Mechanics (China)


Published in SPIE Proceedings Vol. 9675:
AOPC 2015: Image Processing and Analysis
Chunhua Shen; Weiping Yang; Honghai Liu, Editor(s)

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