Publication detail

Face Representation and Tracking Using Gabor Wavelet Networks

ŠPANĚL, M. ZEMČÍK, P.

Original Title

Face Representation and Tracking Using Gabor Wavelet Networks

Type

article in a collection out of WoS and Scopus

Language

English

Original Abstract

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.

Keywords

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

Authors

ŠPANĚL, M.; ZEMČÍK, P.

RIV year

2003

Released

22. 4. 2003

Location

Budmerice

Pages from

163

Pages to

169

Pages count

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/"
}