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2.3: Evaluation and Reduction of Flicker with an AI Scheme in Autostereoscopic Displays
Author(s) -
Chen Mingjun,
Zhang Hantao,
Liang Weitang,
Dai Hanhong,
Wang Shuying,
Li Xiaoke,
Li Kunyang,
Chen Xuehao,
Zhou Jianying
Publication year - 2019
Publication title -
sid symposium digest of technical papers
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.351
H-Index - 44
eISSN - 2168-0159
pISSN - 0097-966X
DOI - 10.1002/sdtp.13370
Subject(s) - autostereoscopy , flicker , computer science , backlight , computer vision , artificial intelligence , scheme (mathematics) , reduction (mathematics) , computer graphics (images) , liquid crystal display , mathematics , stereoscopy , mathematical analysis , geometry , operating system
Flicker is one of the most prominent issues in directional backlight autostereoscopic displays. This work studies the flicker characterization over the entire screen with a high‐speed camera. The characterization method shows that it works well to adapt with the practical visual experience and it gives a global quantitative description of the flicker. An artificial intelligent scheme with motion prediction is established to reduce the flicker, which is proved to be effective.