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  4. Polarimetric camera calibration using an LCD monitor
 
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Polarimetric camera calibration using an LCD monitor

Journal
Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition
Journal Volume
2019-June
Pages
3738-3747
Date Issued
2019
Author(s)
Wang, Z.
Zheng, Y.
YUNG-YU CHUANG  
DOI
10.1109/CVPR.2019.00386
URI
https://www.scopus.com/inward/record.url?eid=2-s2.0-85078748626&partnerID=40&md5=fcc41b02769bcecaecbc00cf23398a14
https://scholars.lib.ntu.edu.tw/handle/123456789/559409
Abstract
It is crucial for polarimetric imaging to accurately calibrate the polarizer angles and the camera response function (CRF) of a polarizing camera. When this polarizing camera is used in a setting of multiview geometric imaging, it is often required to calibrate its intrinsic and extrinsic parameters as well, for which Zhang's calibration method is the most widely used with either a physical checker board, or more conveniently a virtual checker pattern displayed on a monitor. In this paper, we propose to jointly calibrate the polarizer angles and the inverse CRF (ICRF) using a slightly adapted checker pattern displayed on a liquid crystal display (LCD) monitor. Thanks to the lighting principles and the industry standards of the LCD monitors, the polarimetric and radiometric calibration can be significantly simplified, when assisted by the extrinsic parameters estimated from the checker pattern. We present a simple linear method for polarizer angle calibration and a convex method for radiometric calibration, both of which can be jointly refined in a process similar to bundle adjustment. Experiments have verified the feasibility and accuracy of the proposed calibration method. © 2019 IEEE.
Subjects
3D from Multiview and Sensors; Computational Photography; Motion and Tracking; Physics-based Vision and Shape-from-X
SDGs

[SDGs]SDG11

Other Subjects
Calibration; Cameras; Color photography; Computer vision; Inverse problems; Liquid crystals; Motion tracking; Polarimeters; Polarization; Radiometry; Camera response functions; Computational photography; Intrinsic and extrinsic parameters; Liquid crystal display(LCD); Motion and tracking; Multi-views; Radiometric calibrations; Shape-from-X; Liquid crystal displays
Type
conference paper

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