@inproceedings{10c36011058e44c093fdaf8c27f999b8,
title = "Computational calibration and correction for gigapixel imaging system",
abstract = "Large field of view (FOV) imaging with high spatial resolution has been increasingly required for numerous applications in recent years. Obviously, conventional photosensitive detector with tens of megapixels cannot satisfy the requirement. As a result, gigapixel cameras based on the multi-aperture imaging have become a possible solution to overcome the above limitation. In this paper, we developed an alternative gigapixel imaging system which implements the multiple CMOS chips mosaic in the external optical path and presented the computation methods for calibrating the vignetting distributions and other geometric parameters in the system. Consequently, our gigapixel imaging system has achieved the performance of 24 Hz, 0.2Giga, single-pixel resolution.",
keywords = "External optical path mosaic, Gigapixel, Multi-aperture imaging, System calibration",
author = "Jiazhi Zhang and Jie He and Haiwen Li and Yuanchao Bai and Huizhu Jia and Louis Tao and Heng Mao",
note = "Publisher Copyright: {\textcopyright} Springer International Publishing AG, part of Springer Nature 2019.; International Conference on Sensing and Imaging, ICSI 2017 ; Conference date: 05-06-2017 Through 07-06-2017",
year = "2019",
doi = "10.1007/978-3-319-91659-0\_23",
language = "英语",
isbn = "9783319916583",
series = "Lecture Notes in Electrical Engineering",
publisher = "Springer Verlag",
pages = "293--302",
editor = "Quinto, \{Eric Todd\} and Nathan Ida and Louis, \{Alfred K.\} and Ming Jiang",
booktitle = "Proceedings of the International Conference on Sensing and Imaging",
address = "德国",
}