Open AccessPerson Recognition Based on FaceNet under Simulated Prosthetic Vision
Author(s) -
Ying Zhao,
Ai-Ping Yu,
XU Dan-tong
Publication year - 2020
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1437/1/012012
Subject(s) - computer science , face (sociological concept) , artificial intelligence , facial recognition system , character (mathematics) , human–computer interaction , simple (philosophy) , information processing , computer vision , pattern recognition (psychology) , psychology , cognitive psychology , social science , philosophy , geometry , mathematics , epistemology , sociology
Face information is important information for identifying people, but at low resolution, face information is not well recognized. A psychological physics experiment of person recognition in daily life was designed to discover the best strategy for the limited number of stimulating electrodes, and provide useful visual information. The real-time image-processing strategy based on FaceNet were used to optimize the person information by turning complex face information into simple Chinese character information. Noted that all processed target faces were obscured by separate Chinese characters which are the target people’s last names. The psychological results showed that the image-processing strategy based on FaceNet improved recognition accuracy. The proposed strategy, to convert complex face information into simple Chinese character information, could help subjects to use their own first knowledge to identify the person who need to be identified more faster and accurately. CCS Concepts •Human-centered computing ➝ Human computer interaction; •Computing methodologies ➝ Artificial intelligence ➝ Computer vision ➝ Computer vision tasks; •Social and professional topics