Abstract and keywords
Abstract (English):
The article discusses the methods of face recognition based on convolutional neural net-works, the problems of face recognition in the presence of interference or face masking, the main stages of training neural networks and the process of actual recognition.

Keywords:
face recognition, face detection problems, masking problems, face recognition algorithms, convolutional neural networks
Text
Publication text (PDF): Read Download
References

1. Duda, R. Raspoznavanie obrazov i analiz scen / R. Duda,P. Hart. – Sankt-Peterburg : Lan', 2016. – 164 c.

2. Zmeev, A.A. Sravnitel'nyy analiz arhitektur neyronnyh setey dlya ispol'zovaniya ih na praktike / A.A. Zmeev, V.V. Lavlinskiy, S.N. Yan'shin // Modelirovanie sistem i processov. – 2017. – T. 10, № 4. – S. 18-26.

3. Lavlinskiy, V.V. Primenenie matematicheskogo opisaniya deystviy dlya celenapravlennyh sistem na osnove metodov neyronnyh setey / V.V. Lavlin-skiy, S.N. Yan'shin // Modelirovanie sistem i processov. – 2017. – T. 10, № 2. – S. 17-23.

4. Modifikaciya metoda poiska informacii v seti internet na osnove ispol'zovaniya metodov induktivnogo rassuzhdeniya / V.V. Lavlinskiy, A.L. Sa-vchenko, I.A. Zemcov, O.G. Ivanova // Modelirovanie sistem i processov. – 2019. – T. 12, № 1. – S. 61-67.

5. Oksyuta, O.V. Sistema raspoznavaniya dorozhnyh znakov s ispol'zova-niem iskusstvennyh neyronnyh setey / O.V. Oksyuta, A.M. Milyutin // Mode-lirovanie sistem i processov. – 2017. – T. 10, № 1. – S. 64-67.

6. Taigman, Y. Deepface: Closing the gap to human-level performance in face verification[C] / Y. Taigman, M. Yang, M.A. Ranzato // Proceedings of the IEEE conference on computer vision and pattern recognition. – 2014. – Pp/ 1701-1708. –DOI: 10.1109/CVPR.2014.220

Login or Create
* Forgot password?