The Methods of Face Recognition: A Survey-Reference-Cited by-同舟云学术

The Methods of Face Recognition: A Survey

Published:2013-08-30 Issue: Volume:380-384 Page:3483-3486
ISSN:1662-7482
Container-title:Applied Mechanics and Materials
language:
Short-container-title:AMM

Author:

Li Xian Wei¹,Chen Guo Long¹,Zhang Hai Yang¹

Affiliation:

1. Suzhou University

Abstract

Face recognition has received much attention because of its theoretical challenges as well as applications in user identification, surveillance and humancomputer interaction. As a result, numerous methods have been developed for face recognition in the last few decades. Some universally used methods are introduced in this paper. On the same face recognition database, the recognition results are analyzed and compared.

Publisher

Trans Tech Publications, Ltd.

Link

https://www.scientific.net/AMM.380-384.3483.pdf

Reference10 articles.

1. R. Chellappa, C.L. Wilson, S. Sirohey, Human and Machine Recognition of Faces: A Survey, Proceedings of the IEEE, Vol. 83, No. 5, May. 1995, pp.705-740.

2. S. Ranganath and K. Arun, Face Recognition Using Transform Features and Neural Network, Pattern Recognition, Vol. 30, Oct. 1997, pp.1615-1622.

3. Matthew A. Turk, Alex P. Pentland, Face Recognition Using Eigenfaces, Proc. IEEE Conference on Computer Vision and Pattern Recognition: 586–591. (1991).

4. M. Kirby and L. Sirovich, Application of the Karhunen- Loève procedure for the characterisation of human faces, IEEE Trans. Pattern Analysis and Machine Intelligence, vol. 12, pp.831-835, Dec. (1990).

5. L. Sirovich and M. Kirby, Low-Dimensional procedure for the characterization of human faces, J. Optical Soc. of Am., vol. 4, pp.519-524, (1987).

Cited by 1 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. Face Recognition from Depth Images with Convolutional Neural Network;2020 6th International Conference on Robotics and Artificial Intelligence;2020-11-20