Convolutional neural networks and face recognition task

Computer vision tasks are remaining very important for the last couple of years. One of the most complicated problems in computer vision is face recognition that could be used in security systems to provide safety and to identify person among the others. There is a variety of different approaches to solve this task, but there is still no universal solution that would give adequate results in some cases. Current paper presents following approach. Firstly, we extract an area containing face, then we use Canny edge detector. On the next stage we use convolutional neural networks (CNN) to finally solve face recognition and person identification task. © 2017 SPIE.

Authors
Sochenkova A. 2 , Sochenkov I. 2, 1 , Makovetskii A.1 , Vokhmintsev A.1 , Melnikov A. 1, 3
Publisher
Society of Photo-Optical Instrumentation Engineers, Bellingham, WA, United States
Language
English
Status
Published
Number
103962L
Volume
10396
Year
2017
Organizations
  • 1 Chelyabinsk State University, Russian Federation
  • 2 Peoples' Friendship University of Russia, Russian Federation
  • 3 Ugra Research Institute of Information Technologies, Russian Federation
Keywords
CNN; ConvNet; convolutional neural network; face recognition; person identification
Date of creation
19.10.2018
Date of change
19.10.2018
Short link
https://repository.rudn.ru/en/records/article/record/6157/
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