An Improved Calibration Method of Micro Stereo Vision System

2013 ◽  
pp. 2001-2007
Author(s):  
Wei Pei ◽  
Yong Ying Zhu
Keyword(s):  
Stereo Vision ◽  
Vision System ◽  
Calibration Method ◽  
Stereo Vision System

Projector calibration method based on stereo vision system

2017 ◽  
Vol 24 (6) ◽  
pp. 727-733 ◽  
Author(s):  
Shourui Yang ◽  
Miao Liu ◽  
Jiahui Song ◽  
Shibin Yin ◽  
Yin Guo ◽  
...  
Keyword(s):  
Stereo Vision ◽  
Vision System ◽  
Calibration Method ◽  
Stereo Vision System ◽  
Projector Calibration

An accurate stereo vision system using cross-shaped target self-calibration method based on photogrammetry

2010 ◽  
Vol 48 (12) ◽  
pp. 1252-1261 ◽  
Author(s):  
Zhenzhong Xiao ◽  
Jin Liang ◽  
Dehong Yu ◽  
Zhengzong Tang ◽  
Anand Asundi
Keyword(s):  
Stereo Vision ◽  
Vision System ◽  
Calibration Method ◽  
Self Calibration ◽  
Stereo Vision System

Self-Calibration of the Stereo Vision System of the Chang'e-4 Lunar Rover Based on the Points and Lines Combined Adjustment

2020 ◽  
Vol 86 (3) ◽  
pp. 169-176
Author(s):  
Shuo Zhang ◽  
Yang Jia ◽  
Song Peng ◽  
Bo Wen ◽  
Youqing Ma ◽  
...  
Keyword(s):  
Stereo Vision ◽  
Vision System ◽  
Measurement Instrument ◽  
Calibration Method ◽  
High Accuracy ◽  
Calibration Model ◽  
Lunar Rover ◽  
Self Calibration ◽  
Stereo Vision System ◽  
Laboratory Calibration

The stereo vision system is the special engineering measurement instrument of the Chang'e-4 lunar rover. It is composed of the Navigation Camera (NavCam) and the Mast Mechanism (MasMec). An improved self-calibration method for the stereo vision system of the Chang'e-4 lunar rover is proposed. The method consists of two parts: the NavCam's self-calibration and the MasMec's self-calibration. A combined adjustment based on the points and lines is proposed. The baseline constraint of the NavCam is considered. The self-calibration model of the MasMec is established based on the product-of-exponentials formula. Finally, the premission laboratory calibration and the on-site calibration are carried out. The laboratory calibration shows that the proposed approach has high accuracy. The checkpoint with a distance of about 2.7 m to the left NavCam has a point error of about 4 mm. Finally, the proposed approach is applied in the on-site calibration.

A Fast Linear Calibration of Computer Stereo Vision System

2011 ◽  
Vol 305 ◽  
pp. 372-377
Author(s):  
Ke Zhang ◽  
Han Pin Luo
Keyword(s):  
Stereo Vision ◽  
Vision System ◽  
Complex Function ◽  
Calibration Method ◽  
Calibration Model ◽  
Linear Calibration ◽  
Vision Measurement ◽  
Stereo Vision System ◽  
Binocular Stereo Vision ◽  
Binocular Stereo

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.

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
Keyword(s):  
Stereo Vision ◽  
Vision System ◽  
Calibration Method ◽  
Pinhole Camera ◽  
Camera Model ◽  
Stereo Vision System ◽  
Imaging Model ◽  
Binocular Stereo Vision ◽  
Calibration Experiment ◽  
Binocular Stereo

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.

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