scholarly journals Projector Calibration Method using Orthogonal Gray Code Combined with Trapezoid Phase Shift Code

Author(s):  
Xiaoyang Yu ◽  
Xiaoliang Meng ◽  
Haibin Wu ◽  
Tianjian Zang ◽  
Zhenyu Xiao
2014 ◽  
Vol 981 ◽  
pp. 348-351
Author(s):  
Xiao Yang Yu ◽  
Xiao Liang Meng ◽  
Hai Bin Wu ◽  
Xiao Ming Sun ◽  
Li Wang

In coded-structured light three dimensional system, system calibration plays a vital role for the measurement accuracy. The camera calibration method is very mature, but the study about projector calibration is less. Therefore, this paper proposes a projector calibration method with simple calibration process and high accuracy. This method combines the Zhang’?s plane model calibration method with orthogonal phase shift coding. In calibration process, this paper uses phase shift coding pattern to establish the relationship of projector image and camera corner point coordinates. According to the image coordinates in the projector’?s perspective, we program and calculate the projector’?s internal and external parameters matrix based on the Zhang’?s plane model calibration toolbox. The results show that the proposed method is simple and flexible, the maximum relative error of the calibration parameters is 0.03%, and it meets the requirements of system calibration in medical or industrial fields.


2013 ◽  
Vol 662 ◽  
pp. 777-780
Author(s):  
Wen Guo Li ◽  
Shao Jun Duan

We present a convenient calibration method for structured light projection system. The proposed clibration approach can realize 3D shape measurement without projector calibration, without system calibration, without precise linear z stage to be used, the relative position between camera and projector can be arbitrary, and the only involved device is a plane board. Experiment results validated that the accuracy of the proposed approach.


2016 ◽  
Vol 49 (21) ◽  
pp. 1-6
Author(s):  
Sang Hyun Kim ◽  
Seung-Hi Lee ◽  
Chung Choo Chung

2015 ◽  
Vol 54 (4) ◽  
pp. 789 ◽  
Author(s):  
Shujun Huang ◽  
Lili Xie ◽  
Zhangying Wang ◽  
Zonghua Zhang ◽  
Feng Gao ◽  
...  

2017 ◽  
Vol 24 (6) ◽  
pp. 727-733 ◽  
Author(s):  
Shourui Yang ◽  
Miao Liu ◽  
Jiahui Song ◽  
Shibin Yin ◽  
Yin Guo ◽  
...  

2014 ◽  
Vol 981 ◽  
pp. 364-367
Author(s):  
Guang Yu ◽  
Bo Yang Yu ◽  
Shu Cai Yang ◽  
Li Wen ◽  
Wen Fei Dong ◽  
...  

Projector calibration can be seen as a special case of the camera calibration. It can establish the relationship of the three dimensional space coordinates for points and projector image coordinates for points DMD by using a projector to project coding pattern. In camera calibration, ZHANG’s self-calibration was conducted in the maximum likelihood linear refinement. Operation process takes the lens distortion factors into account finding out the camera internal and external parameters finally. Using this algorithm to the projector calibration can solve the traditional linear calibration algorithm which is complex and poor robustness. Otherwise, it can improve the practicability of calibration method. This method can both calibrate the internal and external parameters of projector, which can solve the problem of independently inside or outside calibration.


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