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  5. A review of traditional and deep learning approaches for RGB-D face recognition
 
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A review of traditional and deep learning approaches for RGB-D face recognition

Journal
AIP Conference Proceedings
ISSN
0094243X
Date Issued
2021-07-21
Author(s)
Shunmugam P.
Kamarulzaman Kamarudin
Universiti Malaysia Perlis
Latifah Munirah Kamarudin
Universiti Malaysia Perlis
Ammar Zakaria
Universiti Malaysia Perlis
Abdullah A.N.
DOI
10.1063/5.0053044
Handle (URI)
https://hdl.handle.net/20.500.14170/3902
Abstract
One of the popularly explored topics for the past few decades in the field of artificial intelligence is face recognition. RGB-D picture-based face recognition has attracted numerous researcher's interest as it has more benefits compared with two-dimensional face recognitions. This review paper gives a brief review of RGB-D face recognition researches. First, this paper reviewed some of the RGB-D sensors available in the market and its specifications. After that, description and scope of face databases which are utilized to test the accuracy of these face recognition techniques are explored. Finally, this paper presents a summary of traditional techniques and deep learning techniques on RGB-D face recognitions.
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Nov 19, 2024
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