Calibration method of parallel projection beams for 3D profile measurement

1996 ◽  
Author(s):  
Shuo-Jen Lee ◽  
TienJung Fan
2013 ◽  
Vol 48 ◽  
pp. 187-193 ◽  
Author(s):  
Jing Xu ◽  
Jules Douet ◽  
Jianguo Zhao ◽  
Libin Song ◽  
Ken Chen

Author(s):  
Shuo-Jen Lee ◽  
Tien-Jung Fan

In this paper, a non-contact 3D profile measurement technique was presented which is based on the projection of parallel beams. An arc light which was assumed to be point light source was positioned in the focal point of an parabolic mirror. After it was reflected by the parabolic mirror, uniform parallel beams were projected. These parallel beams, passing through LCD, produce 27 coded patterns. The purpose of these coded patterns is to ensure their relative positions. CCD images where then taken on these coded patterns in order to perform space coding on each of the measurement points. It was followed by the calibration process with special designed model to obtain the internal and external parameters of the CCD such as focal length and ratio of pixel size. Using the triangulation theory, coordinate transformation between the measured object and the CCD will transform the 2D image plan into 3D coordinate profile. The parallelism of these projection beams eliminates the disadvantages of diffused projection light patterns, simplifies the mathematical algorithms, and reduces image processing error of the projected patterns. This can be more efficient and accurate technique for 3D profile measurement as compared with other non-contact structured light techniques.


Author(s):  
Chao Xing ◽  
Junhui Huang ◽  
Zhao Wang ◽  
Jianmin Gao

Abstract It is a challenge to improve the accuracy of 3D profile measurement based on binary coded structured light for complex surfaces. A new method of weighted fusion with multi-system is presented to reduce the measurement errors due to the stripe grayscale asymmetry, which is based on the analysis of stripe center deviation related to surface normal and the directions of incident and reflected rays. First, the stripe center deviation model is established according to the geometric relationship between the stripe center deviation, the incident and reflected angles at any measured point. The influence of each variable on stripe center deviation is analyzed, and three subsystems are formed by a binocular structured light framework to achieve multiple measurements based on the influence regularity. Then in order to improve the measurement accuracy, different weights are assigned to the measured point in different subsystems according to the stripe center deviation model and its relationship with measurement error, and the weighted data from different subsystems are fused. Experiments are carried out to validate the presented method, and the experimental results demonstrate that it effectively improves the measurement accuracy of complex surfaces and measurement accuracy is improved by about 27% compared with the conventional method.


2012 ◽  
Vol 50 (9) ◽  
pp. 1274-1280 ◽  
Author(s):  
Jing Xu ◽  
Shaoli Liu ◽  
An Wan ◽  
Bingtuan Gao ◽  
Qiang Yi ◽  
...  

Measurement ◽  
1997 ◽  
Vol 20 (2) ◽  
pp. 129-134 ◽  
Author(s):  
R. Furutani ◽  
H. Asano ◽  
K. Takamasu ◽  
S. Ozono

2014 ◽  
Vol 53 (2) ◽  
pp. 200 ◽  
Author(s):  
Zongkai Yang ◽  
Ke Wu ◽  
Jiangtao Xi ◽  
Yanguang Yu

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