scholarly journals A High-Precision Calibration Method for Stereo Vision System

10.5772/12947 ◽  
2011 ◽  
Author(s):  
Chuan Zhou ◽  
Yingkui Du ◽  
Yandong Tang
Keyword(s):  
High Precision ◽  
Stereo Vision ◽  
Vision System ◽  
Calibration Method ◽  
Stereo Vision System

scholarly journals Flexible method for accurate calibration of large-scale vision metrology system based on virtual 3-D targets and laser tracker

2019 ◽  
Vol 16 (6) ◽  
pp. 172988141989351
Author(s):  
Xi Zhang ◽  
Yuanzhi Xu ◽  
Haichao Li ◽  
Lijing Zhu ◽  
Xin Wang ◽  
...  
Keyword(s):  
High Precision ◽  
Stereo Vision ◽  
Large Scale ◽  
Vision System ◽  
Calibration Method ◽  
Field Of View ◽  
Large Field ◽  
Laser Tracker ◽  
Calibration Target ◽  
Pose Tracking

For the purpose of obtaining high-precision in stereo vision calibration, a large-size precise calibration target, which can cover more than half of the field of view is vital. However, large-scale calibration targets are very difficult to fabricate. Based on the idea of error tracing, a high-precision calibration method for vision system with large field of view by constructing a virtual 3-D calibration target with a laser tracker was proposed in this article. A virtual 3-D calibration target that covers the whole measurement space can be established flexibly and the measurement precision of the vision system can be traceable to the laser tracker. First, virtual 3-D targets by calculating rigid body transformation with unit quaternion method were constructed. Then, the high-order distortion camera model was taken into consideration. Besides, the calibration parameters were solved with Levenberg–Marquardt optimization algorithm. In the experiment, a binocular stereo vision system with the field of view of 4 × 3 × 2 m3 was built for verifying the validity and precision of the proposed calibration method. It is measured that the accuracy with the proposed method can be greatly improved comparing with traditional plane calibration method. The method can be widely used in industrial applications, such as in the field of calibrating large-scale vision-based coordinate metrology, and six-degrees of freedom pose tracking system for dimensional measurement of workpiece, as well as robotics geometrical accuracy detection and compensation.

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

Study on flexible calibration method for binocular stereo vision system

2008 ◽  
Author(s):  
Peng Wang ◽  
Huashu Sun ◽  
Changku Sun
Keyword(s):  
Stereo Vision ◽  
Vision System ◽  
Calibration Method ◽  
Stereo Vision System ◽  
Binocular Stereo Vision ◽  
Binocular Stereo

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.

Design and Research of Camera Calibration System in Binocular Stereo Vision

2011 ◽  
Vol 460-461 ◽  
pp. 219-224 ◽  
Author(s):  
Jun Tao Xiong ◽  
Xiang Jun Zou ◽  
Hai Xin Zou ◽  
Yin Le Chen ◽  
Quan Sun
Keyword(s):  
Camera Calibration ◽  
High Precision ◽  
Stereo Vision ◽  
Vision System ◽  
Calibration Method ◽  
Calibration Data ◽  
Calibration System ◽  
Binocular Stereo Vision ◽  
Reference Measure ◽  
Binocular Stereo

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.

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