Combined features for face recognition under illumination variation
Author:
Affiliation:
1. Department of Computer Science and EngineeringDankook UniversityGyeonggi‐doRepublic of Korea
Funder
National Research Foundation of Korea
Publisher
Institution of Engineering and Technology (IET)
Subject
Electrical and Electronic Engineering
Link
https://onlinelibrary.wiley.com/doi/pdf/10.1049/el.2015.2936
Reference17 articles.
1. Face recognition using average example image
2. Eigenfaces vs. Fisherfaces: recognition using class specific linear projection
3. Discriminative common vectors for face recognition
4. Face recognition based on 2D images under illumination and pose variations
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3. Face recognition based on the band fusion of generalized phase spectrum of 2D-FrFT;Eighth International Conference on Graphic and Image Processing (ICGIP 2016);2017-02-08
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