Detail publikace
Face Representation and Tracking Using Gabor Wavelet Networks
ZEMČÍK, P., ŠPANĚL, M.
Originální název
Face Representation and Tracking Using Gabor Wavelet Networks
Anglický název
Face Representation and Tracking Using Gabor Wavelet Networks
Jazyk
en
Originální abstrakt
This work presents a one of the approaches to human gesture
recognition. A method where a discrete face template is represented by
linear combination of the 2D odd-Gabor wavelet functions (Gabor Wavelet
Network) is proposed. Using wavelet networks, an effective face
representation and tracking method is achieved that is robust to
changes and deformations of the face image. Possibilities of
cooperation between a GWN and others methods for robust facial
expressions recognition are also discussed, for example: Principal
Component Analysis (PCA) and parameterized models of optical flow.
Anglický abstrakt
This work presents a one of the approaches to human gesture
recognition. A method where a discrete face template is represented by
linear combination of the 2D odd-Gabor wavelet functions (Gabor Wavelet
Network) is proposed. Using wavelet networks, an effective face
representation and tracking method is achieved that is robust to
changes and deformations of the face image. Possibilities of
cooperation between a GWN and others methods for robust facial
expressions recognition are also discussed, for example: Principal
Component Analysis (PCA) and parameterized models of optical flow.
Dokumenty
BibTex
@inproceedings{BUT10927,
author="Michal {Španěl} and Pavel {Zemčík}",
title="Face Representation and Tracking Using Gabor Wavelet Networks",
annote="This work presents a one of the approaches to human gesture
recognition. A method where a discrete face template is represented by
linear combination of the 2D odd-Gabor wavelet functions (Gabor Wavelet
Network) is proposed. Using wavelet networks, an effective face
representation and tracking method is achieved that is robust to
changes and deformations of the face image. Possibilities of
cooperation between a GWN and others methods for robust facial
expressions recognition are also discussed, for example: Principal
Component Analysis (PCA) and parameterized models of optical flow.
",
booktitle="Proceedings of the Central European Seminar on Computer Graphics",
chapter="10927",
year="2003",
month="april",
pages="163--169",
type="conference paper"
}