A novel illumination-robust face recognition using statistical and non-statistical method

Author:

Jun Bongjin,Lee Jinseok,Kim Daijin

Publisher

Elsevier BV

Subject

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

Reference18 articles.

1. Face description with local binary patterns: Application to face recognition;Ahonen;IEEE Trans. Pattern Anal. Machine Intell.,2006

2. Face recognition by independent component analysis;Bartlett;IEEE Trans. Neural Networks,2002

3. Eigenfaces vs. fisherfaces: Class specific linear projection;Belhumeur;IEEE Trans. Pattern Anal. Machine Intell.,1997

4. Digital Image Processing;Gonzalez,2002

5. A bilinear model for sparse coding;Grimes;Neural Inf. Process. Syst.,2003

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1. A gaze control of socially interactive robots in multiple-person interaction;Robotica;2016-10-03

2. Enhanced Asymmetric Bilinear Model for Face Recognition;International Journal of Distributed Sensor Networks;2015-08-01

3. Block Statistical Features-based Face Verification on Second Generation Identity Card;Biometric Recognition;2015

4. Complementary feature sets for optimal face recognition;EURASIP Journal on Image and Video Processing;2014-07-05

5. Face recognition under large illumination variations using homomorphic filtering in spatial domain;Journal of Visual Communication and Image Representation;2014-07

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