Class specific subspace dependent nonlinear correlation filtering for illumination tolerant face recognition
Author:
Publisher
Elsevier BV
Subject
Artificial Intelligence,Computer Vision and Pattern Recognition,Signal Processing,Software
Reference21 articles.
1. Illumination and noise tolerant face recognition based on eigen-phase correlation filter modified by mexican hat wavelet;Banerjee;Journal of Optics,2009
2. Generalized regression neural network trained preprocessing of frequency domain correlation filter for improved face recognition and its optical implementation;Banerjee;Optics and Laser Technology,2013
3. Banerjee, P.K., Datta, A.K., 2013. An illumination tolerant class specific 2d subspace based face recognition technique using optimum correlation filter. Optik – International Journal for Light and Electron Optics. http://dx.doi.org/10.1016/j.ijleo.2012.09.053.
4. A preferential digitaloptical correlator optimized by particle swarm technique for multi-class face recognition;Banerjee;Optics and Laser Technology,2013
5. Illumination compensation and normalization in eigenspace-based face recognition: a comparative study of different pre-processing approaches;del Solar;Pattern Recognition Letters,2008
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1. Linear Regression Correlation Filter: An Application to Face Recognition;Proceedings of 3rd International Conference on Computer Vision and Image Processing;2019-11-01
2. A Class Specific Representation Learning for Illumination Tolerant Face Recognition;Communications in Computer and Information Science;2019
3. A multi-agent system for the classification of gender and age from images;Computer Vision and Image Understanding;2018-07
4. Robust face recognition via non‐linear correlation filter bank;IET Image Processing;2018-01-10
5. Diminishing Variant Illumination Factor in Object Recognition;Intelligent Information and Database Systems;2017
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