Journals Information
Computer Science and Information Technology Vol. 5(2), pp. 61 - 65
DOI: 10.13189/csit.2017.050203
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3DLBP and SVD Fusion for 3D Face Recognition Using Range Image
El Mahdi Barrah , Rachid Ahdid , Said Safi , Abdessamad Malaoui *
Interdisciplinary Laboratory of Research in Sciences and Technologies (LIRST), Sultan Moulay Slimane University, Bni Mellal, Morocco
ABSTRACT
In this paper, we present a novel approach for fusing 3D Local Binary Pattrns (3DLBP) and singular Value Decomposition (SVD) for face recognition when "Kinect" is used as the 3D face scanner. Another approach is used to compare the 3DLBP method, fused with SVD, with other methods proposed in the literature for face recognition by using Kinect. Experimental results on FRGC 2.0 face dataset showed that the generated data by Kinect are discriminating enough to allow face recognition and that 3DLBP performs better than the other methods.
KEYWORDS
Face Recognition, 3D Local Binary Pattrns (3DLBP), Singular Value Decomposition (SVD)
Cite This Paper in IEEE or APA Citation Styles
(a). IEEE Format:
[1] El Mahdi Barrah , Rachid Ahdid , Said Safi , Abdessamad Malaoui , "3DLBP and SVD Fusion for 3D Face Recognition Using Range Image," Computer Science and Information Technology, Vol. 5, No. 2, pp. 61 - 65, 2017. DOI: 10.13189/csit.2017.050203.
(b). APA Format:
El Mahdi Barrah , Rachid Ahdid , Said Safi , Abdessamad Malaoui (2017). 3DLBP and SVD Fusion for 3D Face Recognition Using Range Image. Computer Science and Information Technology, 5(2), 61 - 65. DOI: 10.13189/csit.2017.050203.