Sample reconstruction with deep autoencoder for one sample per person face recognition-Reference-Cited by-同舟云学术

Sample reconstruction with deep autoencoder for one sample per person face recognition

Published:2017-07-12 Issue:6 Volume:11 Page:471-478
ISSN:1751-9640
Container-title:IET Computer Vision
language:en
Short-container-title:IET Computer Vision

Author:

Zhang Yan¹²,Peng Hua¹

Affiliation:

1. National Digital Switching System Engineering and Technological Research CenterNo.7 Jianxue StreetZhengzhouPeople's Republic of China

2. School of Computer and Communication EngineeringZhengzhou University of Light Industry11building No.5, No.7 Jianxue Street, Jinshui DistrictZhengzhouPeople's Republic of China

Publisher

Institution of Engineering and Technology (IET)

Subject

Computer Vision and Pattern Recognition,Software

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1049/iet-cvi.2016.0322

Reference36 articles.

1. Face recognition from a single image per person: A survey

2. Discriminant analysis for recognition of human face images

3. Guo G. Li S.Z. Chan K.: ‘Face recognition by support vector machines’.Proc. of the IEEE Int. Conf. on Automatic Face and Gesture Recognition March2000 pp.196–201

4. A unified framework for subspace face recognition;Wang X.;IEEE Trans. Pattern Anal. Mach. Intell.,2004

5. Nonlinear Dimensionality Reduction by Locally Linear Embedding

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