Review on Face Recognition Using Deep Learning Techniques and Research Challenges-Reference-Cited by-同舟云学术

Review on Face Recognition Using Deep Learning Techniques and Research Challenges

Published:2021 Issue: Volume: Page:845-853
ISSN:2194-5357
Container-title:Computational Vision and Bio-Inspired Computing
language:
Short-container-title:

Author:

Karunakaran V.,Iwin Thanakumar Joseph S.,Pandiaraj Shanthini

Publisher

Springer Singapore

Link

https://link.springer.com/content/pdf/10.1007/978-981-33-6862-0_64

Reference16 articles.

1. S. Du, R. Ward, Face recognition under pose variations. J. Franklin Inst. 343(6), 596–613 (2006)

2. R. Min, A. Hadid, J.L. Dugelay, Efficient detection of occlusion prior to robust face recognition. Sci. World J. (2014)

3. R. Singh, M. Vatsa, A. Noore, Recognizing face images with disguise variations. Recent Adv. Face Recogn. 149–160 (2008)

4. A.A. Yusuf, F.S. Mohamad, Z. Sufyanu, A state of the art comparison of databases for facial occlusion. Jurnal Teknologi77(13) (2015)

5. F. Prikler, Evaluation of emotional state of a person based on facial expression, in 2016 XII International Conference on Perspective Technologies and Methods in MEMS Design (MEMSTECH) (IEEE, 2016), pp. 161–163

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Unconstrained Face Recognition Using Infrared Images;International Journal of Image and Graphics;2024-02-05

2. AI based face recognition system using FaceNet deep learning architecture;INTELLIGENT SYSTEMS: A STEP TOWARDS SMARTER ELECTRICAL, ELECTRONIC AND MECHANICAL ENGINEERING: Proceedings of 2nd International Conference on Industrial Electronics, Mechatronics, Electrical and Mechanical Power (IEMPOWER), 2021.;2022