Using statistical characteristics of gradient phases for robust face recognition under illumination variations
Author:
Affiliation:
1. Advanced Optoelectric Technology CenterInstitute of Computer and Communication EngineeringDepartment of Electrical EngineeringNational Cheng Kung UniversityTainanTaiwan
Funder
National Science Council
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.2013.0168
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4. Yin W. Goldfarb D. Osher S.: ‘Image cartoon‐texture decomposition and feature selection using the total variation regularized L1 functional’.Proc. Third Int. Workshop Variational Geometric and Level Set Methods in Computer Vision 2005 pp.73–84
5. Total variation models for variable lighting face recognition
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