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A Novel Algebraic Feature Extraction Method and Facial Recognition(PDF)

《南京理工大学学报》(自然科学版)[ISSN:1005-9830/CN:32-1397/N]

Issue:
1997年05期
Page:
7-10
Research Field:
Publishing date:

Info

Title:
A Novel Algebraic Feature Extraction Method and Facial Recognition
Author(s):
GuoYuefei JiangZhihua YangJingyu WuYongge HuangXiuwu
School of Information,NUST,Nanjing 210094
Keywords:
matrices ( mathemat ics) feature ext ract ion pat tern recog nit ion opt imal discriminant pro jection vector
PACS:
TP391
DOI:
-
Abstract:
The feature ext ract ion is the most important and fundamental problem in image recognition. T he alg ebraic feature ex t ract ion is an ef fect ive metho d of the feature extr act ion. In this paper, a novel algebraic feature ex t ract ion method is presented. At first the eig en mat rix ( EM) o f the imag e is defined, then the EM is used for ex t ract ing the algebraic featur e. T his paper pro ved that this algebraic feature has some important pro pert ies o f algebr aic and g eomet ric inv ar iance. As an ex ample, this method is used for facial image recog nit ion. T he ex perimental result shows that this method is ef fectiv e.

References:

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Memo:
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Last Update: 2013-03-29