@inproceedings{04860ac82b124bee9d06516a9532c17d,
title = "Study on camera calibration method in plane mirror detection system",
abstract = "Camera calibration is vital in inverse Hartmann system for measuring surface shape of large aperture plane mirrors. It directly affects system accuracy. Through calibration, the internal and external parameters of camera can be acquired. In order to increase the accuracy of camera calibration, this paper selects dot matrix pattern suitable for our system as calibration plate and applies centroid detection algorithm to extract position of feature points. The impact of number and diameter size of dots on camera calibration has been analyzed. Through experiment, the repeatability of the centroid detection algorithm for dot matrix reaches 0.004 pixels, while corner extraction algorithm for checkboard is only 0.007 pixels. It indicates that using dot matrix pattern to calibrate camera is better than using a checkboard in inverse Hartmann system.",
keywords = "System calibration, camera calibration, centroid detection algorithm, dot matrix pattern",
author = "Chao Wang and Qiudong Zhu and Shanshan Wang",
note = "Publisher Copyright: {\textcopyright} 2019 SPIE.; 9th International Symposium on Advanced Optical Manufacturing and Testing Technologies: Meta-Surface-Wave and Planar Optics ; Conference date: 26-06-2018 Through 29-06-2018",
year = "2019",
doi = "10.1117/12.2505879",
language = "English",
series = "Proceedings of SPIE - The International Society for Optical Engineering",
publisher = "SPIE",
editor = "Changtao Wang and Minghui Hong and Xiangang Luo and Xiong Li and Xiaoliang Ma and Mingbo Pu",
booktitle = "9th International Symposium on Advanced Optical Manufacturing and Testing Technologies",
address = "United States",
}