Detail publikace

Face Representation and Tracking Using Gabor Wavelet Networks

ŠPANĚL, M. ZEMČÍK, P.

Originální název

Face Representation and Tracking Using Gabor Wavelet Networks

Typ

článek ve sborníku mimo WoS a Scopus

Jazyk

angličtina

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.

Klíčová slova

Image, Object representation, Feature-based, Template-based, 2D Gabor wavelet functions, Gabor Wavelet Networks, Facial features, Tracking, Facial expressions, Parameterized models of optical flow, Principal Component Analysis

Autoři

ŠPANĚL, M.; ZEMČÍK, P.

Rok RIV

2003

Vydáno

22. 4. 2003

Místo

Budmerice

Strany od

163

Strany do

169

Strany počet

7

URL

https://www.fit.vut.cz/research/publication/7366/

BibTex

@inproceedings{BUT10927,
  author="Michal {Španěl} and Pavel {Zemčík}",
  title="Face Representation and Tracking Using Gabor Wavelet Networks",
  booktitle="Proceedings of the Central European Seminar on Computer Graphics",
  year="2003",
  pages="163--169",
  address="Budmerice",
  url="https://www.fit.vut.cz/research/publication/7366/"
}