Local gradient‐based illumination invariant face recognition using local phase quantisation and multi‐resolution local binary pattern fusion-Reference-Cited by-同舟云学术

Local gradient‐based illumination invariant face recognition using local phase quantisation and multi‐resolution local binary pattern fusion

Published:2015-01 Issue:1 Volume:9 Page:12-21
ISSN:1751-9667
Container-title:IET Image Processing
language:en
Short-container-title:IET Image Processing

Author:

Nikan Soodeh¹,Ahmadi Majid¹

Affiliation:

1. Department of Electrical and Computer EngineeringUniversity of WindsorWindsorOntarioN9B 3P4Canada

Publisher

Institution of Engineering and Technology (IET)

Subject

Electrical and Electronic Engineering,Computer Vision and Pattern Recognition,Signal Processing,Software

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1049/iet-ipr.2013.0792

Reference42 articles.

1. Illumination Compensation Using Oriented Local Histogram Equalization and its Application to Face Recognition

2. A comparative study on illumination preprocessing in face recognition

3. Face Recognition Under Varying Illumination Using Gradientfaces

4. 2012 Proc. IEEE Int. Conf. on Wavelet Analysis and Pattern Recognition (ICWAPR12) Xian B. Xu T.P. Zhang Z.W. Shang Multi‐scale invariant abstracted under varying illumination 28 32

5. Subspace learning from image gradient orientations;Tzimiropoulos G.;IEEE Trans. Pattern Anal. Machine Intell.,2012

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