Virtual orthogonal grid method for calibrating structured light binocular vision measurement system

2007 ◽  
Author(s):  
Qiang Dai ◽  
Tao Geng ◽  
Hu Deng ◽  
Wei-he Ren ◽  
Jia-jie Liu
Keyword(s):  
Binocular Vision ◽  
Measurement System ◽  
Structured Light ◽  
Grid Method ◽  
Vision Measurement ◽  
Orthogonal Grid

Design of Program Framework of Binocular Vision Measurement System Based on DM642

2012 ◽  
Vol 220-223 ◽  
pp. 1311-1314
Author(s):  
Chen Dong ◽  
Shu Guang Dai
Keyword(s):  
Signal Processing ◽  
Binocular Vision ◽  
Measurement System ◽  
Video Processing ◽  
Measurement Instrument ◽  
Rapid Progress ◽  
Image Capture ◽  
Video Signal Processing ◽  
Vision Measurement ◽  
Binocular Measurement

As the rapid progress and development of DSP technology, a new way to solve the video signal processing was accepted. At present, binocular measurement instrument are mostly based on image capture card and PC on the market, expensive and bulky. For this problem, binocular vision measurement system based on DSP has been used. The design of elementary program structure about video processing which based on DSP/BIOS was finished and verified for its real-time. The results of the experiment show that the driver can be well used in the system.

Research on Calibration Method of Linear Structured Light Vision Measurement System

2014 ◽  
Vol 644-650 ◽  
pp. 1234-1239
Author(s):  
Tao He ◽  
Yu Lang Xie ◽  
Cai Sheng Zhu ◽  
Jiu Yin Chen
Keyword(s):  
High Precision ◽  
Measurement System ◽  
Structured Light ◽  
Target Position ◽  
Calibration Method ◽  
Measurement Model ◽  
Sensor Calibration ◽  
Vision Measurement ◽  
Set Up ◽  
Structured Light Vision

This template explains and demonstrates how to design a measurement system based on the size of the linear structured light vision, the system could works at realized the high precision and fast measurement of the size of mechanical parts, and accurate calibration of the system. First of all, this paper set up the experimental platform based on linear structured light vision measurement. Secondly, this paper established a system of measurement model, and puts forward a new method of calibration of structured light sensor and set up the mathematical model of sensor calibration. This calibration method only need to use some gage blocks of high precision as the target, the target position need not have a strict requirements, and the solving process will be more convenient, much easier to field use and maintenance. Finally, measuring accuracy on the system by gage blocks with high precision is verified, the experiment shows that measurement accuracy within 0.050 mmin the depth of 0-80 - mm range. This system can satisfy the demands of precision testing of most industrial parts .with its simple calibration process and high precision, it is suitable for the structured light vision calibration.

Novel Calibration Method for Axes in Line Structured Light Vision Measurement System

2012 ◽  
Vol 39 (11) ◽  
pp. 1108014 ◽  
Author(s):  
陈新禹 Chen Xinyu ◽  
马孜 Ma Zi ◽  
陈天飞 Chen Tianfei ◽  
李鹏 Li Peng
Keyword(s):  
Measurement System ◽  
Structured Light ◽  
Calibration Method ◽  
Vision Measurement ◽  
Structured Light Vision

Calibration of binocular vision measurement system

2016 ◽  
Vol 24 (2) ◽  
pp. 300-38 ◽  
Author(s):  
杨景豪 YANG Jing-hao ◽  
刘 巍 LIU Wei ◽  
刘 阳 LIU Yang ◽  
王福吉 WANG Fu-ji ◽  
贾振元 JIA Zhen-yuan
Keyword(s):  
Binocular Vision ◽  
Measurement System ◽  
Vision Measurement

3-Step-Calibration of 3D Vision Measurement System Based-on Structured Light

2014 ◽  
Vol 8 (3) ◽  
pp. 484-489 ◽  
Author(s):  
Rui-Yin Tang ◽  
◽  
Zhou-Mo Zeng ◽  
Chang-Ku Sun ◽  
Peng Wang ◽  
...  
Keyword(s):  
Measurement System ◽  
Measurement Accuracy ◽  
Structured Light ◽  
Hard Disk ◽  
Disk Surface ◽  
Measurement Model ◽  
3D Vision ◽  
Vision Measurement ◽  
Light Measurement ◽  
Key Steps

In structured light 3D vision measurement system, calibration tasks are key steps. Aiming at a special application of line structured light measurement, namely computer hard-disk surface planeness measurement at a precision equipment manufacturing company in Singapore, and combining with the structured light measurement model, determined three calibration tasks of the system. The three calibrating tasks concluded: calibrating the camera parameters; calibrating the light plane pose and calibrating the movement pose. At the same time, according to the three calibration results, measured the computer hard disk, and reconstructed the 3D model of the computer hard disk. The experimental results show that, the whole system of three calibration process is simple and reliable, the method does not need any auxiliary adjustment and realize the measurement accuracy about 0.023 mm. The work laid the better foundation for hard disk planeness vision measurement.

scholarly journals 3D Wide FOV Scanning Measurement System Based on Multiline Structured-Light Sensors

2014 ◽  
Vol 6 ◽  
pp. 758679 ◽  
Author(s):  
He Gao ◽  
Fuqiang Zhou ◽  
Bin Peng ◽  
Yexin Wang ◽  
Haishu Tan
Keyword(s):  
Measurement System ◽  
High Efficiency ◽  
Structured Light ◽  
Ccd Camera ◽  
Measurement Range ◽  
Object Surface ◽  
3D Vision ◽  
Vision Measurement ◽  
Measurement Area ◽  
Wide Fov

Structured-light three-dimensional (3D) vision measurement is currently one of the most common approaches to obtain 3D surface data. However, the existing structured-light scanning measurement systems are primarily constructed on the basis of single sensor, which inevitably generates three obvious problems: limited measurement range, blind measurement area, and low scanning efficiency. To solve these problems, we developed a novel 3D wide FOV scanning measurement system which adopted two multiline structured-light sensors. Each sensor is composed of a digital CCD camera and three line-structured-light projectors. During the measurement process, the measured object is scanned by the two sensors from two different angles at a certain speed. Consequently, the measurement range is expanded and the blind measurement area is reduced. More importantly, since six light stripes are simultaneously projected on the object surface, the scanning efficiency is greatly improved. The Multiline Structured-light Sensors Scanning Measurement System (MSSS) is calibrated on site by a 2D pattern. The experimental results show that the RMS errors of the system for calibration and measurement are less than 0.092 mm and 0.168 mm, respectively, which proves that the MSSS is applicable for obtaining 3D object surface with high efficiency and accuracy.

Sign in / Sign up

Export Citation Format

Share Document