A New Approach to Face Image Coding using Gabor Wavelet Networks

Author

Chaari, Ahmed ; Cabestaing, Franqois ; Sellami-Masmoudi, D.

Author_Institution

LAGIS Lab., Univ. of Lille, Villeneuve-d´´Ascq

fYear

2008

fDate

23-26 Nov. 2008

Firstpage

1

Lastpage

5

Abstract

In this paper, we describe a new approach to face image coding using Gabor Wavelet Networks (GWN). This type of network yields good results in many signal coding applications and was already used for face representation by Kruger in 2001. The main idea is to approximate the face image, considered as a two dimensional function, with a set of Gabor wavelets. We describe an improved network training technique, which uses several face images of the same person rather than a single one. This technique yields the model of the face image, but also statistical criteria defining the significance of each Gabor wavelet in this model.

Keywords

Gabor filters; image coding; image representation; neural nets; wavelet transforms; 2D function; Gabor wavelet networks; Gabor wavelets; face image coding; face representation; network training; signal coding; statistical criteria; Electronic mail; Face detection; Face recognition; Function approximation; Image coding; Image processing; Independent component analysis; Neural networks; Signal processing; Vectors;

fLanguage

English

Publisher

ieee

Conference_Titel

Image Processing Theory, Tools and Applications, 2008. IPTA 2008. First Workshops on

Conference_Location

Sousse

Print_ISBN

978-1-4244-3321-6

Electronic_ISBN

978-1-4244-3322-3

Type

conf

DOI

10.1109/IPTA.2008.4743787

Filename

4743787