Thermal infrared face recognition with face mask based on the generative method

Shijia Guo; Tianxu Zhang; Ting Guo

doi:10.1117/12.2622449

27 March 2022 Thermal infrared face recognition with face mask based on the generative method

Shijia Guo, Tianxu Zhang, Ting Guo

Proceedings Volume 12169, Eighth Symposium on Novel Photoelectronic Detection Technology and Applications; 121691Y (2022) https://doi.org/10.1117/12.2622449
Event: Eighth Symposium on Novel Photoelectronic Detection Technology and Applications, 2021, Kunming, China

Abstract

With the development of artificial intelligence technology, visible light face recognition is becoming more and more popular. But visible light can't solve the problem of facial occlusion. Because the visible light cannot pass through the occlusion and is received by the camera, a lot of information is lost. In reality, when criminals wear masks, they can't recognize faces in visible light. But thermal infrared technology can solve this problem because the heat emitted by the face can be captured by the thermal infrared camera through the mask. In this paper, the generative deep learning method is used to remove the mask in the independent data set, and the recognition result is good.

Citation Download Citation

Shijia Guo, Tianxu Zhang, and Ting Guo "Thermal infrared face recognition with face mask based on the generative method", Proc. SPIE 12169, Eighth Symposium on Novel Photoelectronic Detection Technology and Applications, 121691Y (27 March 2022); https://doi.org/10.1117/12.2622449

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available