@inproceedings{0b33dbe8f2254631bc166de8aea9a821,
title = "Biometric method to improve super resolution structure on AI and deep learning",
abstract = "To solve the biometric technology based on artificial intelligence and deep learning, to improve the system resolution is an important aspect of the development of a complicated sensor. In order to improve the resolution of the imaging system, and achieve the theoretical limit, we introduced the technology principle of super resolution restructure from the point of view on theory and engineering. Several methods to realize high resolution restructure configurations are introduced based on theoretical analysis and engineering practice. Then, three kinds of restructure technologies, that prototype, micro scanning and sub pixel are described, and how to decrease their shortcomings are discussed in detail. The results support theoretical case.",
keywords = "Optical Design, Photonics, System Engineering",
author = "Hua Liu and Helong Wang and Quanxin Ding and Chunjie Guo and Liwei Zhou",
note = "Publisher Copyright: {\textcopyright} 2018 SPIE.; Global Intelligence Industry Conference, GIIC 2018 ; Conference date: 22-05-2018 Through 24-05-2018",
year = "2018",
doi = "10.1117/12.2504701",
language = "English",
isbn = "9781510622999",
series = "Proceedings of SPIE - The International Society for Optical Engineering",
publisher = "SPIE",
editor = "Yueguang Lv",
booktitle = "Global Intelligence Industry Conference, GIIC 2018",
address = "United States",
}