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Title: Face recognition using total loss function on face database with ID photos
Authors: Cui, Dongshun
Zhang, Guanghao
Hu, Kai
Han, Wei
Huang, Guang-Bin
Keywords: Engineering::Electrical and electronic engineering
Issue Date: 2019
Source: Cui, D., Zhang, G., Hu, K., Han, W. & Huang, G. (2019). Face recognition using total loss function on face database with ID photos. Optics and Laser Technology, 110, 227-233.
Journal: Optics and Laser Technology
Abstract: With the development of deep neural networks, researchers have developed lots of algorithms related to face and achieved comparable results to human-level performance on several databases. However, few feature extraction models work well in the real world when the subject which is to be recognized has limited samples, for example, only one ID photo can be obtained before the face recognition task. To our best knowledge, there is no face database which contains ID photos and pictures from the real world for a subject simultaneously. To fill this gap, we collected 100 celebrities’ ID photos and their about 1000 stills or life pictures and formed a face database called FDID. Besides, we proposed a novel face recognition algorithm and evaluated it with this new database on the real-life videos.
ISSN: 0030-3992
DOI: 10.1016/j.optlastec.2017.10.016
Rights: © 2017 Elsevier Ltd. All rights reserved.
Fulltext Permission: none
Fulltext Availability: No Fulltext
Appears in Collections:ERI@N Journal Articles

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