DocumentCode
755616
Title
Application of the Karhunen-Loeve procedure for the characterization of human faces
Author
Kirby, M. ; Sirovich, L.
Author_Institution
Div. of Appl. Math., Brown Univ., Providence, RI, USA
Volume
12
Issue
1
fYear
1990
fDate
1/1/1990 12:00:00 AM
Firstpage
103
Lastpage
108
Abstract
The use of natural symmetries (mirror images) in a well-defined family of patterns (human faces) is discussed within the framework of the Karhunen-Loeve expansion. This results in an extension of the data and imposes even and odd symmetry on the eigenfunctions of the covariance matrix, without increasing the complexity of the calculation. The resulting approximation of faces projected from outside of the data set onto this optimal basis is improved on average
Keywords
eigenvalues and eigenfunctions; matrix algebra; pattern recognition; Karhunen-Loeve expansion; Karhunen-Loeve procedure; covariance matrix; eigenfunctions; human faces; mirror images; natural symmetries; pattern recognition; Covariance matrix; Degradation; Eigenvalues and eigenfunctions; Face recognition; Humans; Linear regression; Mathematics; Mirrors; Neural networks; Speech;
fLanguage
English
Journal_Title
Pattern Analysis and Machine Intelligence, IEEE Transactions on
Publisher
ieee
ISSN
0162-8828
Type
jour
DOI
10.1109/34.41390
Filename
41390
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