scholarly journals Calibration method of multi-projector display system with extra-large FOV and quantitative registration accuracy analysis

2021 ◽  
Author(s):  
Yanli Hou ◽  
Xianyu Su ◽  
Wenjing Chen ◽  
wenjing Zhao
Author(s):  
Chun Xie ◽  
Hidehiko Shishido ◽  
Yoshinari Kameda ◽  
Kenji Suzuki ◽  
Itaru Kitahara

2013 ◽  
Vol 385-386 ◽  
pp. 518-522
Author(s):  
Zhi Xian Zhang ◽  
Li Liang ◽  
Yong Deng

Aiming at the applications of computer vision,a nonlinear image geometrical model for array CCD camera was build and the interior parameters and exterior parameters as well were analyzed.By applying Halcon calibration board with circular targets plane of matrix gridding type and functions library,a camera calibration algorithm and accuracy analysis were given.Experiments indicated that the parameters were accurate and this method is simple and it improves the calibration precision and computation speed, and has a good cross-platform portability.


2017 ◽  
Vol 54 (2) ◽  
pp. 021501
Author(s):  
肖朝 Xiao Chao ◽  
陈锋 Chen Feng ◽  
钟敏 Zhong Min ◽  
金川 Jin Chuan

Author(s):  
David Carmona-Ballester ◽  
Viana Lida Guadalupe-Suárez ◽  
Juan Manuel Trujillo-Sevilla ◽  
Sergio Bonaque-González ◽  
Ricardo Oliva-García ◽  
...  

2020 ◽  
Vol 10 (20) ◽  
pp. 7188
Author(s):  
Lode Jorissen ◽  
Ryutaro Oi ◽  
Koki Wakunami ◽  
Yasuyuki Ichihashi ◽  
Gauthier Lafruit ◽  
...  

Light field 3D displays require a precise alignment between the display source and the micromirror-array screen for error free 3D visualization. Hence, calibrating the system using an external camera becomes necessary, before displaying any 3D contents. The inter-dependency of the intrinsic and extrinsic parameters of display-source, calibration-camera, and micromirror-array screen, makes the calibration process very complex and error-prone. Thus, several assumptions are made with regard to the display setup, in order to simplify the calibration. A fully automatic calibration method based on several such assumptions was reported by us earlier. Here, in this paper, we report a method that uses no such assumptions, but yields a better calibration. The proposed method adapts an optical solution where the micromirror-array screen is fabricated as a computer generated hologram with a tiny diffuser engraved at one corner of each elemental micromirror in the array. The calibration algorithm uses these diffusing areas as markers to determine the relation between the pixels of display source and the mirrors in the micromirror-array screen. Calibration results show that virtually reconstructed 3D scenes align well with the real world contents, and are free from any distortion. This method also eliminates the position dependency of display source, calibration-camera, and mirror-array screen during calibration, which enables easy setup of the display system.


2020 ◽  
Vol 206 ◽  
pp. 03010
Author(s):  
Yunzhi Li ◽  
Yuntian Bai ◽  
Mengke Wang

The boresight error is one of the main error sources of the Mobile Mapping System(MMS), which directly affects the overall accuracy and quality of the laser point cloud. Unideal boresight error estimation seriously reduces the point cloud registration accuracy. When there is a feature place in the laser point cloud, the boresight error will cause the feature plane to deviate from the real plane. In order to solve the above problems, a visual axis calibration method for a mobile surveying and mapping system based on known feature planes is proposed. According to the plane features of 3D scene, the Gauss-Helmert adjustment model is established, and the normal equation for calculating the boresight error is derived. This is a simple and reliable calibration method.


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