[PDF][PDF] Face recognition by means of two-dimensional direct linear discriminant analysis
G Kukharev, P Forczmanski - Proceedings of 8th International …, 2005 - academia.edu
G Kukharev, P Forczmanski
Proceedings of 8th International Conference on Pattern Recognition and …, 2005•academia.eduThe paper presents a novel method of reducing the dimensionality of large datasets (eg
human faces databases). It does not incorporate any usual pre-processing stage (like down-
scaling or filtering). Its main advantage is associated with efficient representation of images
leading to the accurate recognition. The reduction is realized by modified Linear
Discriminant Analysis. In the paper, the authors present its mathematical principles together
with some results of practical experiments on popular facial databases (ORL, BioID).
human faces databases). It does not incorporate any usual pre-processing stage (like down-
scaling or filtering). Its main advantage is associated with efficient representation of images
leading to the accurate recognition. The reduction is realized by modified Linear
Discriminant Analysis. In the paper, the authors present its mathematical principles together
with some results of practical experiments on popular facial databases (ORL, BioID).
Abstract
The paper presents a novel method of reducing the dimensionality of large datasets (eg human faces databases). It does not incorporate any usual pre-processing stage (like down-scaling or filtering). Its main advantage is associated with efficient representation of images leading to the accurate recognition. The reduction is realized by modified Linear Discriminant Analysis. In the paper, the authors present its mathematical principles together with some results of practical experiments on popular facial databases (ORL, BioID).
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