Binocular Stereo Vision Calibration System Implementation of Grid Strain Measurement in Sheet Forming

2013 ◽  
Vol 397-400 ◽  
pp. 1547-1551
Author(s):  
Hui Yu Xiang ◽  
Bao An Han ◽  
Zhe Li ◽  
Jia Jun Huang
Keyword(s):  
Stereo Vision ◽  
Strain Measurement ◽  
Calibration Method ◽  
Sheet Forming ◽  
Calibration System ◽  
Camera Model ◽  
Distortion Factor ◽  
Binocular Stereo Vision ◽  
Binocular Stereo ◽  
Stereo Calibration

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.

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.

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.

Research on Ranging Method Based on Binocular Stereo Vision

2014 ◽  
Vol 945-949 ◽  
pp. 2075-2081 ◽  
Author(s):  
Xue Zhi Lv ◽  
Mei Ting Wang ◽  
Yong Feng Qi ◽  
Xue Mei Zhao ◽  
Hao Dong
Keyword(s):  
Camera Calibration ◽  
Stereo Vision ◽  
Experimental Platform ◽  
Binocular Stereo Vision ◽  
Parallel Arrangement ◽  
Binocular Stereo ◽  
Contour Boundary ◽  
Measurement Object ◽  
Stereo Calibration ◽  
Left And Right

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.

Improved Zhang′s Calibration Method and Experiments for Underwater Binocular Stereo-Vision

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
Keyword(s):  
Stereo Vision ◽  
Calibration Method ◽  
Binocular Stereo Vision ◽  
Binocular Stereo

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.

scholarly journals A Method for Extrinsic Parameter Calibration of Rotating Binocular Stereo Vision Using a Single Feature Point

Sensors ◽  
2018 ◽  
Vol 18 (11) ◽  
pp. 3666 ◽  
Author(s):  
Yue Wang ◽  
Xiangjun Wang ◽  
Zijing Wan ◽  
Jiahao Zhang
Keyword(s):  
3D Reconstruction ◽  
Stereo Vision ◽  
Vertical Direction ◽  
Calibration Method ◽  
Quadratic Equation ◽  
Feature Point ◽  
Self Calibration ◽  
Binocular Stereo Vision ◽  
Single Feature ◽  
Binocular Stereo

Nowadays, binocular stereo vision (BSV) is extensively used in real-time 3D reconstruction, which requires cameras to quickly implement self-calibration. At present, the camera parameters are typically estimated through iterative optimization. The calibration accuracy is high, but the process is time consuming. Hence, a system of BSV with rotating and non-zooming cameras is established in this study, in which the cameras can rotate horizontally and vertically. The cameras’ intrinsic parameters and initial position are estimated in advance by using Zhang’s calibration method. Only the yaw rotation angle in the horizontal direction and pitch in the vertical direction for each camera should be obtained during rotation. Therefore, we present a novel self-calibration method by using a single feature point and transform the imaging model of the pitch and yaw into a quadratic equation of the tangent value of the pitch. The closed-form solutions of the pitch and yaw can be obtained with known approximate values, which avoid the iterative convergence problem. Computer simulation and physical experiments prove the feasibility of the proposed method. Additionally, we compare the proposed method with Zhang’s method. Our experimental data indicate that the averages of the absolute errors of the Euler angles and translation vectors relative to the reference values are less than 0.21° and 6.6 mm, respectively, and the averages of the relative errors of 3D reconstruction coordinates do not exceed 4.2%.

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