Corrected calibration algorithm with a fixed constraint relationship and an error compensation technique for a binocular vision measurement system

2018 ◽  
Vol 57 (19) ◽  
pp. 5492 ◽  
Author(s):  
Ju Huo ◽  
Guiyang Zhang ◽  
Jiashan Cui ◽  
Ming Yang
Keyword(s):  
Binocular Vision ◽  
Measurement System ◽  
Error Compensation ◽  
Vision Measurement ◽  
Calibration Algorithm ◽  
Compensation Technique

scholarly journals Calibration error compensation technique of stereoscopic vision measurement system

2020 ◽  
Vol 41 (6) ◽  
pp. 1174-1180
Author(s):  
CUI Enkun ◽  
◽  
◽  
TENG Yanqing ◽  
LIU Jiawei ◽  
...  
Keyword(s):  
Measurement System ◽  
Error Compensation ◽  
Stereoscopic Vision ◽  
Calibration Error ◽  
Vision Measurement ◽  
Compensation Technique

A NSGA-II-Based Calibration Algorithm for Underwater Binocular Vision Measurement System

2020 ◽  
Vol 69 (3) ◽  
pp. 794-803 ◽  
Author(s):  
Shihan Kong ◽  
Xi Fang ◽  
Xingyu Chen ◽  
Zhengxing Wu ◽  
Junzhi Yu
Keyword(s):  
Binocular Vision ◽  
Measurement System ◽  
Nsga Ii ◽  
Vision Measurement ◽  
Calibration Algorithm

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.

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

Driving Techniques for Micro Gear Measuring Instrument

2013 ◽  
Vol 694-697 ◽  
pp. 1276-1280
Author(s):  
Yuan Liang Zhang ◽  
Zhi Min Zhou ◽  
Peng Sen Jiang ◽  
Yan Gao
Keyword(s):  
Measurement System ◽  
Error Compensation ◽  
Measuring Instrument ◽  
Reliable Operation ◽  
Automatic Indexing ◽  
Compensation Technique ◽  
The Cost

Micro gears are applied in an increasing quantity in many applications. Therefore, precise measurements are of growing importance to ensure their quality. This paper studies the electronic generative and automatic indexing measurement system in a micro gear (with a module less than 0.2mm) measuring instrument, and develops a loop proportioned driving approach and a stage-error compensation technique. The approach and the technique have been successfully applied in the micro gear measuring instrument developed by the authors. The experiment shows that the application of the approach and the technique greatly reduces the cost of measuring instrument, with simple control and reliable operation.

Application of grey incidence method to error analysis of binocular vision measurement system

2013 ◽  
Vol 21 (2) ◽  
pp. 503-513 ◽  
Author(s):  
唐巍 TANG Wei ◽  
叶东 YE Dong ◽  
袁峰 YUAN Feng ◽  
陈刚 CHEN Gang
Keyword(s):  
Error Analysis ◽  
Binocular Vision ◽  
Measurement System ◽  
Vision Measurement

Binocular Vision Measurement of Distance Based on Vehicle Logo Location

2012 ◽  
Vol 229-231 ◽  
pp. 1154-1157 ◽  
Author(s):  
A Lin Hou ◽  
Juan Chen ◽  
Zhi Juan Jin ◽  
Qing Liao ◽  
Ying Geng
Keyword(s):  
Binocular Vision ◽  
Image Plane ◽  
Spatial Location ◽  
Measuring System ◽  
Target Vehicle ◽  
Vision Measurement ◽  
World Coordinate System ◽  
Calibration Algorithm ◽  
Image Pairs ◽  
Rapid Processing

A measuring system of vehicle distance is proposed on the basis of binocular vision using location information of the vehicle logo. The spatial location of the target vehicle can be obtained by the pixel coordinates in the image plane due to the logo is sited at the central axis of the vehicle. The camera calibration algorithm is accomplished by conversion relation matrix between the world coordinate system and the image coordinate. And then the binocular logo image pairs are matched. Finally, the distance of the target vehicle is calculated. The simulation experiments have been done and the results show that the proposed method of distance measurement has better performance with rapid processing and higher accuracy.

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