Eigenface classification using an extended kernel-based nonlinear discriminator

被引：0

作者：

Liu, BY ^{[1
]}

Liu, B ^{[1
]}

Sun, X ^{[1
]}

Zhang, J ^{[1
]}

机构：

[1] Univ Elect Sci & Technol China, Coll Elect Engn, Chengdu 610054, Peoples R China

来源：

2004 INTERNATIONAL CONFERENCE ON COMMUNICATION, CIRCUITS, AND SYSTEMS, VOLS 1 AND 2: VOL 1: COMMUNICATION THEORY AND SYSTEMS - VOL 2: SIGNAL PROCESSING, CIRCUITS AND SYSTEMS | 2004年

关键词：

face recognition; eigenfaces; kernel-based nonlinear discriminator (KND); extended KND;

D O I：

10.1109/ICCCAS.2004.1346373

中图分类号：

TP3 [计算技术、计算机技术];

学科分类号：

0812 ;

摘要：

This paper extends a kernel-based nonlinear discriminator (KND) to a new version by an oblique projection realization and applies it to eigenface classification. In an extended KND, the effect of the target class on the performance of a classifier is considered. Experimental results on the ORL face database demonstrate the effectiveness of an eKND in face recognition.

引用

页码：1123 / 1126

页数：4

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