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Method of clones generation from the digital images

Kukharev G., Tujaka A.

Metody Informatyki Stosowanej

2009

nr 1 (18)

53-68

Paper addresses the problem of cloning the input image, especially for frontal face image recognition. Presented are two methods of cloning, one based on procedure of downsampling, and other based on modified wavelet transform. Implementations of both procedures are described as well as salient features of "clone-images ", making it useful for image recognition. Cloning enables application of strong classification methods, e.g. linear discriminant analysis (LDA) by avoiding the small sample size problem. Application of "cloning + LDA" is illustrated by face recognition problem with one training image per person.

System of face recognition using LDA with one training image per person

Kukharev G., Tujaka A., Binh N.T

Metody Informatyki Stosowanej

2008

nr 3 (Tom 16)

167--185

The paper addresses the problem of face recognition, using matrix description of original face images. Reduced dimensionality matrix representation of face image is obtained with linear discriminant analysis (LDA) applied simultaneously to rows and columns of original image matrix, called LDArc. We have extended the applicability of LDA to a case of one training image per person, using simple methods of training image “replication” with so called “down-sampling” procedure. Developed method is applied with success to a few well known face database, like ORL, FERET and Face94.