Camera calibration method of binocular stereo vision based on OpenCV

Wanzhen Zhong; Xiaona Dong

doi:10.1117/12.2202186

8 October 2015 Camera calibration method of binocular stereo vision based on OpenCV

Wanzhen Zhong, Xiaona Dong

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.

Citation Download Citation

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); https://doi.org/10.1117/12.2202186

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available