@inproceedings{d2959f7519ca4eec843d89aefbd68cd8,
title = "A Self-correction Based Algorithm for Single-Shot Camera Calibration",
abstract = "Camera calibration is a fundamental task in photogrammetry and computer vision. In view of the requirements in live camera characteristics, we present a novel calibration approach to obtain all the camera optimal parameters and the distortion rectification by using only a single image. The existing automatic calibration approaches inspired by the vanishing point theory or the homography matrix are not capable of entirely deal with the internal, external and the len distortion parameters simultaneously. Compared to the previous works, our approach solves the problem by applying the linear features extracted from the image and thus improves the accuracy and efficiency. Results of experiments in different scenes demonstrate the comparable performance to the traditional methods.",
keywords = "Camera calibration, Distortion, Self-correction, Single image",
author = "Shuangfei Yu and Jie Hong and Tao Zhang and Zhi Yang and Yisheng Guan",
note = "Publisher Copyright: {\textcopyright} 2020, Springer Nature Switzerland AG.; 13th International Conference on Intelligent Robotics and Applications, ICIRA 2020 ; Conference date: 05-11-2020 Through 07-11-2020",
year = "2020",
doi = "10.1007/978-3-030-66645-3\_37",
language = "英语",
isbn = "9783030666446",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Science and Business Media Deutschland GmbH",
pages = "442--455",
editor = "Chan, \{Chee Seng\} and Hong Liu and Xiangyang Zhu and Lim, \{Chern Hong\} and Xinjun Liu and Lianqing Liu and Goh, \{Kam Meng\}",
booktitle = "Intelligent Robotics and Applications - 13th International Conference, ICIRA 2020, Proceedings",
address = "德国",
}