Camera calibration method of binocular stereo vision based on OpenCV

2015 ◽  
Author(s):  
Wanzhen Zhong ◽  
Xiaona Dong
2011 ◽  
Vol 460-461 ◽  
pp. 219-224 ◽  
Author(s):  
Jun Tao Xiong ◽  
Xiang Jun Zou ◽  
Hai Xin Zou ◽  
Yin Le Chen ◽  
Quan Sun

Aiming at the camera calibration of binocular stereo vision system, based on Zhang’s calibration method, the specified points in the calibration template obtained by the Harris operator, a set of camera calibration system combined with VC++ and Matlab was developed. The results of the calibration system, comparing with those of four-step calibration method, was analyzed and showed that: the error of calibration data in this system was within 0~5 mm, which had a high precision calibration, providing a new reference measure for the camera calibration.


2014 ◽  
Vol 945-949 ◽  
pp. 2075-2081 ◽  
Author(s):  
Xue Zhi Lv ◽  
Mei Ting Wang ◽  
Yong Feng Qi ◽  
Xue Mei Zhao ◽  
Hao Dong

Binocular stereo vision ranging method taking contour boundary center of measurement object as matching features was investigated. And experimental platform for binocular stereo vision ranging system was built up. The stereo vision ranging system comprised four modules: camera calibration, stereo calibration, stereo rectification and features extraction. Firstly, the intrinsic parameters of single camera were obtained by camera calibration and relative pose of two cameras was obtained by stereo calibration. Then the left and right images were rectified into a frontal parallel arrangement by Bouguet’s method. The edge pixels of contours were detected by image processing. Then the disparity and the distance was calculated taking contour center as matching features. Finally, measurement error analysis was performed to verify the proposed method with good practicability.


2012 ◽  
Vol 490-495 ◽  
pp. 711-715
Author(s):  
Alin Hou ◽  
Ying Geng ◽  
Xue Cui ◽  
Wen Ju Yuan ◽  
Feng Guang Shi

The method of distance measurement based on binocular stereo vision is presented in this paper. The model of camera imaging is established and the process of camera calibration is described. Interior and external parameters of two cameras are calculated by HALCON. The system of visual measurement is fabricated. The parallax measurement of the image pairs is accomplished. The simulation experiments of distance measurement have been done and the calculated results can be in accordance with the actual distance.


2013 ◽  
Vol 397-400 ◽  
pp. 1547-1551
Author(s):  
Hui Yu Xiang ◽  
Bao An Han ◽  
Zhe Li ◽  
Jia Jun Huang

For the research of camera calibration in the system of grid strain measurement in sheet forming, the pinhole camera model, the nonlinear model of the camera and the binocular stereo model are analyzed, drawing a binocular stereo calibration method based on HALCON, which detailedly describes the calibration principle and specific calibration process. A binocular stereo vision calibration system based on VC6.0 is established, by which the influence on camera focus, distortion factor and principle points from the number of calibration images is verified by experiments.


2012 ◽  
Vol 468-471 ◽  
pp. 1895-1898 ◽  
Author(s):  
A Lin Hou ◽  
Ying Geng ◽  
Xue Cui ◽  
Wen Ju Yuan ◽  
Feng Guang Shi

The measurement system of the depth distance based on binocular stereo vision is proposed. The model of camera imaging is established and the process of camera calibration is described. Interior and external parameters of two cameras are calculated by HALCON. Then the depth distance can be obtained by the parallax measurement of the image pairs. The simulation experiments have been done and the results demonstrated that the measuring method is feasible.


2014 ◽  
Vol 701-702 ◽  
pp. 361-366
Author(s):  
Xiao Jing Yang ◽  
Si Qi Wang

Camera calibration is the most important stage of machine vision measurement. The principle and method of camera calibration for binocular stereo vision system are introduced and the left and right CCD are respectively calibrated by using the prepared calibration target and the MATLAB program. Then internal and external camera parameters are obtained by the calibration experiments. The experimental results show that the calibration results have high precision.


2014 ◽  
Vol 34 (12) ◽  
pp. 1215006 ◽  
Author(s):  
李光乐 Li Guangle ◽  
黄文有 Huang Wenyou ◽  
刘青松 Liu Qingsong ◽  
邓志燕 Deng Zhiyan

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