Probe-based multi-view field 3D vision measurement system based on three-dimensional orientation target

2019 ◽  
Vol 27 (1) ◽  
pp. 34-44 ◽  
Author(s):  
李云雷 LI Yun-lei ◽  
张 曦 ZHANG Xi ◽  
屠大维 TU Da-wei
2014 ◽  
Vol 8 (3) ◽  
pp. 484-489 ◽  
Author(s):  
Rui-Yin Tang ◽  
◽  
Zhou-Mo Zeng ◽  
Chang-Ku Sun ◽  
Peng Wang ◽  
...  

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.


2014 ◽  
Vol 6 ◽  
pp. 758679 ◽  
Author(s):  
He Gao ◽  
Fuqiang Zhou ◽  
Bin Peng ◽  
Yexin Wang ◽  
Haishu Tan

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.


2013 ◽  
Vol 21 (9) ◽  
pp. 2217-2224 ◽  
Author(s):  
冯萍 FENG Ping ◽  
魏振忠 WEI Zhen-zhong

2005 ◽  
Vol 295-296 ◽  
pp. 331-336 ◽  
Author(s):  
S.G. Liu ◽  
K. Peng ◽  
F.S. Huang ◽  
Guo Xiong Zhang ◽  
P. Li

A portable three-dimensional vision coordinate measuring system is proposed in this paper. It consists of a light pen, a CCD camera and a laptop computer. The light pen is a hand-held probe with three point light sources using LEDs and a spherical touch stylus arranged in one line. The CCD camera takes the image of LEDs on the light pen and the 3D coordinates of measured point at the center of touch stylus are obtained by computing the positions of LEDs in the image when the probe contacts the object surface. The equations of the vision measurement system are derived by using perspective of three collinear points and spatial analytic geometry. The measuring device can be set up easily on an industrial site and the measurement is convenient. The object surface can be simple, complex, or hidden from the view of camera. The effectiveness of the mathematical model and validity of the measuring system are confirmed by experiments.


2017 ◽  
Vol 9 (10) ◽  
pp. 168781401771718 ◽  
Author(s):  
Ngoc-Vu Ngo ◽  
Quang-Cherng Hsu ◽  
Wei-Lin Hsiao ◽  
Chang-Jui Yang

2011 ◽  
Vol 131 (2) ◽  
pp. 320-328 ◽  
Author(s):  
Cunwei Lu ◽  
Hiroya Kamitomo ◽  
Ke Sun ◽  
Kazuhiro Tsujino ◽  
Genki Cho

2019 ◽  
Vol 105 (1-4) ◽  
pp. 1531-1537 ◽  
Author(s):  
Pedro Bastos Costa ◽  
Fabiana Rodrigues Leta ◽  
Felipe de Oliveira Baldner

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