PROCEEDINGS OF 8TH INTERNATIONAL CONFERENCE ON ADVANCED MATERIALS ENGINEERING & TECHNOLOGY (ICAMET 2020) | 2021
A review of traditional and deep learning approaches for RGB-D face recognition
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.