Nonlinear DCT discriminant feature extraction with generalized KDCV for face recognition

Sheng Li; Yong Fang Yao; Xiao Yuan Jing; Zhu Li Shao; Dapeng Zhang; Jing Yu Yang

doi:10.1109/IITA.2008.187

Nonlinear DCT discriminant feature extraction with generalized KDCV for face recognition

Sheng Li, Yong Fang Yao, Xiao Yuan Jing, Zhu Li Shao, Dapeng Zhang, Jing Yu Yang

Research output: Chapter in book / Conference proceeding › Conference article published in proceeding or book › Academic research › peer-review

2 Citations (Scopus)

Abstract

A nonlinear DCT discriminant feature extraction approach for face recognition is proposed. First, we analyze the nonlinear discriminabilities of DCT frequency bands and select appropriate bands. Second, we extract nonlinear discriminant features from the selected DCT bands by presenting a new kernel discriminant method, i.e. generalized kernel discriminative common vector (KDCV) method. The experimental results on the Feret database demonstrate the effectiveness of this new approach.

Original language	English
Title of host publication	Proceedings - 2008 2nd International Symposium on Intelligent Information Technology Application, IITA 2008
Pages	338-341
Number of pages	4
Volume	3
DOIs	https://doi.org/10.1109/IITA.2008.187
Publication status	Published - 1 Dec 2008
Event	2008 2nd International Symposium on Intelligent Information Technology Application, IITA 2008 - Shanghai, China Duration: 21 Dec 2008 → 22 Dec 2008

Conference

Conference	2008 2nd International Symposium on Intelligent Information Technology Application, IITA 2008
Country/Territory	China
City	Shanghai
Period	21/12/08 → 22/12/08

ASJC Scopus subject areas

Computer Science Applications
Information Systems and Management

More information

10.1109/IITA.2008.187

Cite this

@inproceedings{a06ea3365dfc4487a4e317e3387e158e,

title = "Nonlinear DCT discriminant feature extraction with generalized KDCV for face recognition",

abstract = "A nonlinear DCT discriminant feature extraction approach for face recognition is proposed. First, we analyze the nonlinear discriminabilities of DCT frequency bands and select appropriate bands. Second, we extract nonlinear discriminant features from the selected DCT bands by presenting a new kernel discriminant method, i.e. generalized kernel discriminative common vector (KDCV) method. The experimental results on the Feret database demonstrate the effectiveness of this new approach.",

author = "Sheng Li and Yao, {Yong Fang} and Jing, {Xiao Yuan} and Shao, {Zhu Li} and Dapeng Zhang and Yang, {Jing Yu}",

year = "2008",

month = dec,

day = "1",

doi = "10.1109/IITA.2008.187",

language = "English",

isbn = "9780769534978",

volume = "3",

pages = "338--341",

booktitle = "Proceedings - 2008 2nd International Symposium on Intelligent Information Technology Application, IITA 2008",

note = "2008 2nd International Symposium on Intelligent Information Technology Application, IITA 2008 ; Conference date: 21-12-2008 Through 22-12-2008",

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Li, S, Yao, YF, Jing, XY, Shao, ZL, Zhang, D & Yang, JY 2008, Nonlinear DCT discriminant feature extraction with generalized KDCV for face recognition. in Proceedings - 2008 2nd International Symposium on Intelligent Information Technology Application, IITA 2008. vol. 3, 4740014, pp. 338-341, 2008 2nd International Symposium on Intelligent Information Technology Application, IITA 2008, Shanghai, China, 21/12/08. https://doi.org/10.1109/IITA.2008.187

Nonlinear DCT discriminant feature extraction with generalized KDCV for face recognition. / Li, Sheng; Yao, Yong Fang; Jing, Xiao Yuan et al.
Proceedings - 2008 2nd International Symposium on Intelligent Information Technology Application, IITA 2008. Vol. 3 2008. p. 338-341 4740014.

Research output: Chapter in book / Conference proceeding › Conference article published in proceeding or book › Academic research › peer-review

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T1 - Nonlinear DCT discriminant feature extraction with generalized KDCV for face recognition

AU - Li, Sheng

AU - Yao, Yong Fang

AU - Jing, Xiao Yuan

AU - Shao, Zhu Li

AU - Zhang, Dapeng

AU - Yang, Jing Yu

PY - 2008/12/1

Y1 - 2008/12/1

N2 - A nonlinear DCT discriminant feature extraction approach for face recognition is proposed. First, we analyze the nonlinear discriminabilities of DCT frequency bands and select appropriate bands. Second, we extract nonlinear discriminant features from the selected DCT bands by presenting a new kernel discriminant method, i.e. generalized kernel discriminative common vector (KDCV) method. The experimental results on the Feret database demonstrate the effectiveness of this new approach.

AB - A nonlinear DCT discriminant feature extraction approach for face recognition is proposed. First, we analyze the nonlinear discriminabilities of DCT frequency bands and select appropriate bands. Second, we extract nonlinear discriminant features from the selected DCT bands by presenting a new kernel discriminant method, i.e. generalized kernel discriminative common vector (KDCV) method. The experimental results on the Feret database demonstrate the effectiveness of this new approach.

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DO - 10.1109/IITA.2008.187

M3 - Conference article published in proceeding or book

SN - 9780769534978

VL - 3

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EP - 341

BT - Proceedings - 2008 2nd International Symposium on Intelligent Information Technology Application, IITA 2008

T2 - 2008 2nd International Symposium on Intelligent Information Technology Application, IITA 2008

Y2 - 21 December 2008 through 22 December 2008

ER -

Nonlinear DCT discriminant feature extraction with generalized KDCV for face recognition

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