Face Recognition Feature Comparison Based SVD and FFT

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Journal of Signal and Information Processing

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"Face Recognition Feature Comparison Based SVD and FFT"
written by Lina Zhao, Wanbao Hu, Lihong Cui,
published by Journal of Signal and Information Processing, Vol.3 No.2, 2012

has been cited by the following article(s):

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[8]	Face Recognition Using Hybrid Feature Space in Conjunction with Support Vector Machine
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[10]	An Investigation of fSVD and Ridgelet Transform for Illumination and Expression Invariant Face Recognition
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[11]	A Brief Review on Feature Based Approaches for Face Recognition
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[12]	一种用于人脸识别的非迭代 GLRAM 算法
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[13]	A Novel Permutation Based Approach for Effective and Efficient Representation of Face Images under Varying Illuminations
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[14]	Face Recognition Using Singular Value Decomposition of Facial Colour Image Database
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[1]	A Robust Face Recognition Approach through Symbolic Modeling of Polar FFT features Pattern Recognition, 2017 DOI:10.1016/j.patcog.2017.06.014

[2]	An Advancement towards Efficient Face Recognition Using Live Video Feed: "For the Future" 2017 3rd International Conference on Computational Intelligence and Networks (CINE), 2017 DOI:10.1109/CINE.2017.21

[3]	Two Dimensionality Reduction Techniques for SURF Based Face Recognition Procedia Computer Science, 2016 DOI:10.1016/j.procs.2016.05.222

[4]	Quantitative Analysis of Kernel Principal Components and Kernel Fishers Based Face Recognition Algorithms Using Hybrid Gaborlets Procedia Computer Science, 2015 DOI:10.1016/j.procs.2015.08.029

[5]	Advances in Intelligent Informatics Advances in Intelligent Systems and Computing, 2015 DOI:10.1007/978-3-319-11218-3_4