Session and scheduling information are listed below. Select a session from the list and press "Go" to view the abstracts for that session.
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Session
54
: Under Display Camera/Sensing |
Display Systems
; Sensors Integration and Multi-Functional Displays
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Thursday, May 16 / 09:00 AM - 10:20 AM / San Jose Convention Center, LL21EF
Chair:
Sergei Yakovenko, consultant, pine grove, CA US
Co-Chair:
Grace Lee, Mojo Vision, Saratoga, CA USA
54.1 - Development of UDC Image Restoration Technology Using Space-Variant CNN (9:00 AM - 9:20 AM)
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Daewook Kim, Jaebum Cho, Jewon Yoo, Hyunjoo Hwang, Sungjae Park, Seungin Baek, Sungchan Cho
Samsung Display Research Center Youngin South Korea
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A deep learning network capable of eliminating image flare for under-display cameras is proposed. The network is trained by a synthetic dataset of accurate optical simulation. However, the shape of the flare is distorted differently depending on its position in the photo. The authors propose space-variant CNN for solving distortion problems.
54.2 - Diffraction Issues of Under-Display IR Sensor in AMOLED Displays (9:20 AM - 9:40 AM)
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Zhibin Wang, Longxing Chi, Yilu Chang, Xiaofeng Xu, Jacky Qiu, Michael Helander
OTI Lumionics Inc. Toronto ON Canada
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This paper investigates diffraction issues in under-display infrared (UDIR) sensors for 3D facial recognition. While conventional design wisdom emphasizes infrared transmittance, this study introduces a new figure of merit, zero-order transmittance (ZOT), as a crucial parameter. Properly patterning the cathode significantly improves ZOT, highlighting its importance in UDIR applications.
54.3 - Design and Evaluation of Full Display OLED Panel for Face ID (9:40 AM - 10:00 AM)
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Fei Fang, Ling Shi, Bo Shi, Weifeng Zhou, Dawei Wang, Ming Hu, Haijun Qiu
Chengdu BOE Optoelectronics Technology Co., Ltd. Chengdu China
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A 6.55-in. full display OLED panel with a two 4mm x 14mm face ID area is proposed. A TFT inside method is adopted to the face ID area where the transmittance is 940nm up to 34.4%. The full screen maintains 400 ppi and the IR light has almost no influence on the face ID area.
54.4 - Innovative Research on Full-Display Technology for Face Recognition (10:00 AM - 10:20 AM)
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Shoukun Wang, Zhichao Zhang, Ni Yan, Zidong Guo, Panpan Wang, Huanhuan Zhang, Wangfeng Xi, Rubo Xing, Junfeng Li
Visionox Technology Inc. Gu'an China
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This paper introduces research of full-screen technology for face recognition with under-display infrared light source and camera. By analyzing and studying the influence of infrared light irradiation on an OLED screen, the authors achieve a perfect technical combination of full screen and infrared face recognition, and realize a true full-screen display.