scholarly journals Improved camera calibration method based on perpendicularity compensation for binocular stereo vision measurement system

2015 ◽  
Vol 23 (12) ◽  
pp. 15205 ◽  
Author(s):  
Zhenyuan Jia ◽  
Jinghao Yang ◽  
Wei Liu ◽  
Fuji Wang ◽  
Yang Liu ◽  
...  
Keyword(s):  
Camera Calibration ◽  
Stereo Vision ◽  
Measurement System ◽  
Calibration Method ◽  
Vision Measurement ◽  
Binocular Stereo Vision ◽  
Binocular Stereo ◽  
Stereo Vision Measurement

A Study of 3d Coordinate Measuring Based on Binocular Stereo Vision

2015 ◽  
Vol 740 ◽  
pp. 531-534 ◽  
Author(s):  
Tao He ◽  
Jiu Yin Chen ◽  
Xiang Hu ◽  
Xian Wang
Keyword(s):  
Machine Vision ◽  
Stereo Vision ◽  
Calibration Method ◽  
Measurement Model ◽  
Vision Measurement ◽  
Model Based ◽  
Binocular Stereo Vision ◽  
Binocular Stereo ◽  
Stereo Vision Measurement

It is important to obtain the 3d coordinate in the field of measuring. How accurate, fast, convenient to obtain the 3d coordinate affects the accuracy and reliability of measurement directly. Through studying the basic theories of machine vision this paper focus on the study of a stereo vision measurement model based on the intersecting axis. In view of the parameters in the model of binocular stereo vision, this paper uses the Zhang Zhengyou calibration method to calibrate the system of Stereo vision. In order to test the accuracy of the system, this paper measures the distance of two standard circular. Finally, the machining experiment validates the proposed method.

Measurement of the Depth Distance Based on the Binocular Stereo Vision

2012 ◽  
Vol 468-471 ◽  
pp. 1895-1898 ◽  
Author(s):  
A Lin Hou ◽  
Ying Geng ◽  
Xue Cui ◽  
Wen Ju Yuan ◽  
Feng Guang Shi
Keyword(s):  
Camera Calibration ◽  
Stereo Vision ◽  
Measurement System ◽  
Measuring Method ◽  
Simulation Experiments ◽  
Camera Imaging ◽  
Binocular Stereo Vision ◽  
Binocular Stereo ◽  
Image Pairs

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.

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