Research on dynamic structure light 3D measurement technology of target surface shape under light gas gun loading

Author(s):  
Xu Wang ◽  
Hui He ◽  
Zeren Li ◽  
Qican Zhang ◽  
Renrong Long
Sensors ◽  
2019 ◽  
Vol 19 (7) ◽  
pp. 1704
Author(s):  
Haoyang Yu ◽  
Wei An ◽  
Ran Zhu

A problem of tracking surface shape-shifting extended target by using gray scale pixels on optical image is considered. The measurement with amplitude information (AI) is available to the proposed method. The target is regarded as a convex hemispheric object, and the amplitude distribution of the extended target is represented by a solid radial function. The Gaussian process (GP) is applied and the covariance function of GP is modified to fit the convex hemispheric shape. The points to be estimated on the target surface are selected reasonably in the hemispheric space at the azimuth and pitch directions. Analytical representation of the estimated target extent is provided and the recursive process is implemented by the extended Kalman filter (EKF). In order to demonstrate the algorithm’s ability of tracking complex shaped targets, a trailing target characterized by two feature parameters is simulated and the two feature parameters are extracted with the estimated points. The simulations verify the validity of the proposed method with compared to classical algorithms.


2006 ◽  
Vol 48 ◽  
pp. 537-541 ◽  
Author(s):  
H B Wu ◽  
Y Chen ◽  
M Y Wu ◽  
C R Guan ◽  
X Y Yu

2005 ◽  
Author(s):  
Huijuan Yuan ◽  
Xiaoyang Yu ◽  
Jianying Guo ◽  
Baoguo Zhou ◽  
Chunhong Zou

2012 ◽  
Vol 452-453 ◽  
pp. 1465-1469
Author(s):  
Li Zhong Lin ◽  
Cheng Bing Cao ◽  
Tao Wang ◽  
Zhou Huang

Using the triangulation method of laser non-contact measurement, the surface shape of CRT's shadow mask and the Q value was high precision measured. Measuring the mesh surface, the laser beam may be all or part through the mesh. The extraction problem of the effective measurement data was studied. Setting the threshold to filter out the invalid data and the data influenced by the mesh, it retained a small amount of valid data. Using data fitting and interpolation methods to process part of the effective data, then extracting the geometry of the mesh surface profile, the good reproducibility results was gotten. The advanced measuring equipment used in production practice was also studied.


2012 ◽  
Vol 542-543 ◽  
pp. 635-638
Author(s):  
Ke Zhang ◽  
Zhao Gao

The 3D measurement based on stereo vision, as a new measurement technology, has been widely used in reverse engineering, robot vision and quality control, etc. In this paper, the basic principle and method of calibrating 3D measurement system based on stereo vision respectively using genetic algorithm and neural network was introduced. Then the measurement system was calibrated and the precision of 3D measurement system was compared. The experimental results indicate that the method based on BP neural network can improve the precision of measurement better.


Micromachines ◽  
2019 ◽  
Vol 10 (1) ◽  
pp. 57 ◽  
Author(s):  
Gailing Hu ◽  
Xiang Zhou ◽  
Guanliang Zhang ◽  
Chunwei Zhang ◽  
Dong Li ◽  
...  

In traditional laser-based 3D measurement technology, the width of the laser stripe is uncontrollable and uneven. In addition, speckle noise in the image and the noise caused by mechanical movement may reduce the accuracy of the scanning results. This work proposes a new multiple laser stripe scanning profilometry (MLSSP) based on microelectromechanical systems (MEMS) scanning mirror which can project high quality movable laser stripe. It can implement full-field scanning in a short time and does not need to move the measured object or camera. Compared with the traditional laser stripe, the brightness, width and position of the new multiple laser stripes projected by MEMS scanning mirror can be controlled by programming. In addition, the new laser strip can generate high-quality images and the noise caused by mechanical movement is completely eliminated. The experimental results show that the speckle noise is less and the light intensity distribution is more even. Furthermore, the number of pictures needed to be captured is significantly reduced to 1 / N ( N is the number of multiple laser stripes projected by MEMS scanning mirror) and the measurement efficiency is increased by N times, improving the efficiency and accuracy of 3D measurement.


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