Extenics in Face Recognition

被引：0

作者：

Wang, Wenfeng ^{[1
,2
,3
]}

Zhang, Jingjing ^{[1
,3
]}

Wang, Siwen ^{[1
,3
]}

Cui, Lujie ^{[1
,3
]}

Zhang, Xuejiao ^{[1
,3
]}

机构：

[1] Shanghai Inst Technol, Shanghai 201418, Peoples R China

[2] Int Acad Visual Art & Engn, London CR2 6EQ, England

[3] Intersci Inst Management & Technol, Bhubaneswar 752054, Odisha, India

来源：

PROCEEDINGS OF THE WORLD CONFERENCE ON INTELLIGENT AND 3-D TECHNOLOGIES, WCI3DT 2022 | 2023年 / 323卷

关键词：

Psychology analysis; Emotion; EEG; WIRELESS EEG; SIGNAL; PSYCHOLOGY; AUTISM;

D O I：

10.1007/978-981-19-7184-6_40

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Face recognition is facing a new challenge, which was resulted from the contradiction between face recognition and the necessity to wear masks during the COVID-19. This article introduces extenics in face recognition (EFR) for solving the contradiction and constructs a facial model for psychology analysis to help the patients suffering from mental disorders. Moreover, a 2D-3D scene transformation model is integrated with EFR to fuse the virtual scene and real scene. Perspective fusions of EFR with EEG are also explained utilizing the five-layer intelligence theory for fighting against the COVID-19.

引用

页码：483 / 493

页数：11

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