8 October 2015 Camera calibration method of binocular stereo vision based on OpenCV
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Proceedings Volume 9675, AOPC 2015: Image Processing and Analysis; 96752C (2015) https://doi.org/10.1117/12.2202186
Event: Applied Optics and Photonics China (AOPC2015), 2015, Beijing, China
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.
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Wanzhen Zhong and Xiaona Dong "Camera calibration method of binocular stereo vision based on OpenCV", Proc. SPIE 9675, AOPC 2015: Image Processing and Analysis, 96752C (8 October 2015); doi: 10.1117/12.2202186; https://doi.org/10.1117/12.2202186
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