Application of the Karhunen-Loeve procedure for the characterization of human faces

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 incre...

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Bibliographic Details
Published in:IEEE transactions on pattern analysis and machine intelligence 1990-01, Vol.12 (1), p.103-108
Main Authors: Kirby, M., Sirovich, L.
Format: Article
Language:English
Subjects:
Applied sciences
Artificial intelligence
Computer science
control theory
systems
Covariance matrix
Degradation
Eigenvalues and eigenfunctions
Exact sciences and technology
Face recognition
Humans
Linear regression
Mathematics
Mirrors
Neural networks
Pattern recognition. Digital image processing. Computational geometry
Speech
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Summary: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.< >
ISSN:0162-8828
1939-3539
DOI:10.1109/34.41390