Biometric method to improve super resolution structure on AI and deep learning

Hua Liu; Helong Wang; Quanxin Ding; Chunjie Guo; Liwei Zhou

doi:10.1117/12.2504701

31 August 2018 Biometric method to improve super resolution structure on AI and deep learning

Hua Liu, Helong Wang, Quanxin Ding, Chunjie Guo, Liwei Zhou

Author Affiliations +

Proceedings Volume 10835, Global Intelligence Industry Conference (GIIC 2018); 1083504 (2018) https://doi.org/10.1117/12.2504701
Event: Global Intelligent Industry Conference 2018, 2018, Beijing, China

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.

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Hua Liu, Helong Wang, Quanxin Ding, Chunjie Guo, and Liwei Zhou "Biometric method to improve super resolution structure on AI and deep learning", Proc. SPIE 10835, Global Intelligence Industry Conference (GIIC 2018), 1083504 (31 August 2018); https://doi.org/10.1117/12.2504701

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