A multiple maximum scatter difference discriminant criterion for facial feature extraction

IEEE Transactions on Systems, Man, and Cybernetics. Part B, Cybernetics : a Publication of the IEEE Systems, Man, and Cybernetics Society
Fengxi SongZhongwei Guo

Abstract

Maximum scatter difference (MSD) discriminant criterion was a recently presented binary discriminant criterion for pattern classification that utilizes the generalized scatter difference rather than the generalized Rayleigh quotient as a class separability measure, thereby avoiding the singularity problem when addressing small-sample-size problems. MSD classifiers based on this criterion have been quite effective on face-recognition tasks, but as they are binary classifiers, they are not as efficient on large-scale classification tasks. To address the problem, this paper generalizes the classification-oriented binary criterion to its multiple counterpart--multiple MSD (MMSD) discriminant criterion for facial feature extraction. The MMSD feature-extraction method, which is based on this novel discriminant criterion, is a new subspace-based feature-extraction method. Unlike most other subspace-based feature-extraction methods, the MMSD computes its discriminant vectors from both the range of the between-class scatter matrix and the null space of the within-class scatter matrix. The MMSD is theoretically elegant and easy to calculate. Extensive experimental studies conducted on the benchmark database, FERET, show that the MMSD out...Continue Reading

References

Feb 4, 2005·IEEE Transactions on Pattern Analysis and Machine Intelligence·Jian YangZhong Jin
Feb 5, 2008·IEEE Transactions on Neural Networks·Chih-Wei Hsu, Chih-Jen Lin
Jan 1, 1991·Journal of Cognitive Neuroscience·M Turk, A Pentland

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Citations

Jul 11, 2013·PloS One·Su-Jing WangXiaolan Fu
Nov 13, 2009·IEEE Transactions on Systems, Man, and Cybernetics. Part B, Cybernetics : a Publication of the IEEE Systems, Man, and Cybernetics Society·Jiwen Lu, Yap-Peng Tan
Oct 5, 2011·IEEE Transactions on Systems, Man, and Cybernetics. Part B, Cybernetics : a Publication of the IEEE Systems, Man, and Cybernetics Society·Lining ZhangWeisi Lin
Nov 2, 2011·IEEE Transactions on Systems, Man, and Cybernetics. Part B, Cybernetics : a Publication of the IEEE Systems, Man, and Cybernetics Society·Shaoning PangNikola K Kasabov
Apr 15, 2017·IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society· Wai Keung Wong Yuwu Lu
Apr 23, 2020·Big Data·Ramar Senthamil Selvi, Muniyappan Lakshapalam Valarmathi

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