Local Feature Methods Based Facial Recognition
Küçük Resim Yok
Tarih
2022
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
Institute of Electrical and Electronics Engineers Inc.
Erişim Hakkı
info:eu-repo/semantics/closedAccess
Özet
In both business and academics, 3D face recognition is a hot topic. This technology's wide range of uses and the natural recognition procedure make traditional 2D face recognition a superior choice. Additionally, 3D face recognition systems are able to successfully identify human faces even in low light and with varying facial postures and expressions, while 2D face recognition systems would have a tough time operating in these settings. Attempting to recognize faces based on their statistical distribution is pointless. Local traits may be used to identify these faces, though. It is hypothesized here that local feature-based face recognition may be achieved by acquiring local features and their dimensions. © 2022 IEEE.
Açıklama
4th International Congress on Human-Computer Interaction, Optimization and Robotic Applications, HORA 2022 -- 9 June 2022 through 11 June 2022 -- Ankara -- 180434
Anahtar Kelimeler
Face Recognition Grand Challenge, Three Dimensional(3D), Two Dimensional(2D)
Kaynak
HORA 2022 - 4th International Congress on Human-Computer Interaction, Optimization and Robotic Applications, Proceedings
WoS Q Değeri
Scopus Q Değeri
N/A
