A Calibration Method of Binocular Stereo Vision System Based on Halcon

2014 ◽  
Vol 989-994 ◽  
pp. 3007-3010
Author(s):  
Zhi Xian Zhang ◽  
Zhen De Zhu

This paper describes the pinhole camera model combined with an area sensor and a regular lens and the imaging model of the binocular stereo vision system. Also a method to determine the internal and external parameters of a camera by transferring the coordinates three times is described. Then a calibration experiment is carried out with the Halcon calibration board which proved the method works. The method mentioned in this paper has laid a good foundation for measuring the size of objects with the binocular stereo vision system.

2011 ◽  
Vol 305 ◽  
pp. 372-377
Author(s):  
Ke Zhang ◽  
Han Pin Luo

Computer stereo vision has been paid high attention in areas such as industry measurement and automatic control. Calibration of stereo vision system is a key step to implement vision measurement. Nonlinear calibration method involves too many parameters and too complex function, so the processing of optimization is difficult and slow. In this paper, two digital cameras are used to set up stereo vision system which provides convenient experimental operation. The binocular stereo vision system is calibrated using linear calibration model. The results indicate that the method is stable and fast with high precision and practicability.


2020 ◽  
Author(s):  
Pengcheng Wang ◽  
Zenghong Ma ◽  
Xiaoqiang Du ◽  
Wenwu Lu ◽  
Wensong Xing ◽  
...  

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.


2007 ◽  
Author(s):  
Jun Chu ◽  
Chunlin Jiao ◽  
Hang Guo ◽  
Xiaoyu Zhang

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