Illumination invariant single face image recognition under heterogeneous lighting condition-Reference-Cited by-同舟云学术

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Illumination invariant single face image recognition under heterogeneous lighting condition

Published:2017-06 Issue: Volume:66 Page:313-327
ISSN:0031-3203
Container-title:Pattern Recognition
language:en
Short-container-title:Pattern Recognition

Author:

Zhu Jun-Yong,Zheng Wei-Shi,Lu Feng,Lai Jian-Huang

Funder

NSFC

GuangDong Program

Guangdong Program for Support of Top-notch Young Professionals

China Postdoctoral Science Funds

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Vision and Pattern Recognition,Signal Processing,Software

Reference59 articles.

1. P.J. Phillips, P.J. Flynn, T. Scruggs, K.W. Bowyer, J. Chang, K. Hoffman, J. Marques, J. Min, W. Worek, Overview of the face recognition grand challenge, in: Proceedings of the IEEE International Conference on Computer Vision and Pattern Recognition, vol. 1, 2005, pp. 947–954.

2. Frvt 2006 and ice 2006 large-scale experimental results;Phillips;IEEE Trans. Pattern Anal. Mach. Intell.,2010

3. Y. Sun, X. Wang, X. Tang, Deep learning face representation from predicting 10,000 classes, in: Proceedings of the IEEE International Conference on Computer Vision and Pattern Recognition, 2014, pp. 1891–1898.

4. Y. Taigman, M. Yang, M. Ranzato, L. Wolf, Deepface: closing the gap to human-level performance in face verification, in: Proceedings of the IEEE International Conference on Computer Vision and Pattern Recognition, 2014, pp. 1701–1708.

5. A.K. Jain, B. Chandrasekaran, Dimensionality and sample size considerations in pattern recognition practice, in: Handbook of Statistics, vol. 2, 1982, pp. 835–855.

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