Detail publikace

Effective Facial Feature Keypoint Detection Using Active Shape Models Composition

PŘINOSIL, J.

Originální název

Effective Facial Feature Keypoint Detection Using Active Shape Models Composition

Typ

článek ve sborníku ve WoS nebo Scopus

Jazyk

angličtina

Originální abstrakt

This paper deals with the proposal of effective system for facial feature keypoints detection in static images, where a composition of several Active Shape Models ASM is used. Shape of each facial feature (eyes, mouth, etc.) is represented by a minor model of facial feature keypoints and central positions of these minor models in a particular face are represented by a general model. This approach leads to fast convergence to appropriate result and allows using more complex keypoint descriptors extraction method for more reliable detection. In the paper an input image response on a set of the Gabor filters with the GentleBoost classification is used for that. Comparison of proposed system with standard ASM technique represented by stasm library is included in the end of the paper.

Klíčová slova

Active Shape Model, facial keypoints, Gabor filters, GentleBoost classifier

Autoři

PŘINOSIL, J.

Rok RIV

2010

Vydáno

19. 8. 2010

Nakladatel

Asszisztencia Szervezo Kft.

ISBN

978-963-88981-0-4

Kniha

In Proceeding of the 33rd International Conference on Telecommunications and Signal Processing - TSP 2010

Strany od

200

Strany do

203

Strany počet

4

BibTex

@inproceedings{BUT34910,
  author="Jiří {Přinosil}",
  title="Effective Facial Feature Keypoint Detection Using Active Shape Models Composition",
  booktitle="In Proceeding of the 33rd International Conference on Telecommunications and Signal Processing - TSP 2010",
  year="2010",
  pages="200--203",
  publisher="Asszisztencia Szervezo Kft.",
  isbn="978-963-88981-0-4"
}