TY - GEN
T1 - A screen-based method for automated camera intrinsic calibration on production lines
AU - Gao, Wenliang
AU - Lin, Jiarong
AU - Zhang, Fu
AU - Shen, Shaojie
N1 - Publisher Copyright:
© 2019 IEEE.
PY - 2019/8
Y1 - 2019/8
N2 - For the manufacture of visual system product, it is necessary to calibrate a massive number of cameras in a limited time and space with a high consistency quality. Traditional calibration method with chessboard pattern is not suitable in the manufacturing industry since its requirement of motions leads to the problem of consistency, cost of space and time. In this work, we present a screen-based solution for automated camera intrinsic calibration on production lines. With screens clearly and easily displaying pixel points, the whole calibration pattern is formed with the dense and uniform points captured by the camera. The calibration accuracy is comparable with the traditional method with chessboard pattern. Unlike a variety of existing methods, our method needs little human interaction, as well as only a limited amount of space, making it easy to be deployed and operated in the industrial environments. With some experiments, we show the comparable performance of the system for perspective cameras and its potential in fisheye cameras with the developments of screens.
AB - For the manufacture of visual system product, it is necessary to calibrate a massive number of cameras in a limited time and space with a high consistency quality. Traditional calibration method with chessboard pattern is not suitable in the manufacturing industry since its requirement of motions leads to the problem of consistency, cost of space and time. In this work, we present a screen-based solution for automated camera intrinsic calibration on production lines. With screens clearly and easily displaying pixel points, the whole calibration pattern is formed with the dense and uniform points captured by the camera. The calibration accuracy is comparable with the traditional method with chessboard pattern. Unlike a variety of existing methods, our method needs little human interaction, as well as only a limited amount of space, making it easy to be deployed and operated in the industrial environments. With some experiments, we show the comparable performance of the system for perspective cameras and its potential in fisheye cameras with the developments of screens.
UR - https://www.scopus.com/pages/publications/85072955423
U2 - 10.1109/COASE.2019.8842956
DO - 10.1109/COASE.2019.8842956
M3 - 会议稿件
AN - SCOPUS:85072955423
T3 - IEEE International Conference on Automation Science and Engineering
SP - 392
EP - 398
BT - 2019 IEEE 15th International Conference on Automation Science and Engineering, CASE 2019
PB - IEEE Computer Society
T2 - 15th IEEE International Conference on Automation Science and Engineering, CASE 2019
Y2 - 22 August 2019 through 26 August 2019
ER -