Detail publikace

Face segmentation: a comparison between visible and thermal images

MEKYSKA, J. ESPINOSA-DURÓ, V. FAÚNDEZ ZANUY, M.

Originální název

Face segmentation: a comparison between visible and thermal images

Typ

konferenční sborník (ne článek)

Jazyk

angličtina

Originální abstrakt

Face segmentation is a first step for face biometric systems. In this paper we present a face segmentation algorithm for thermographic images. This algorithm is compared with the classic Viola and Jones algorithm used for visible images. Experimental results reveal that, when segmenting a multispectral (visible and thermal) face database, the proposed algorithm is more than 10 times faster, while the accuracy of face segmentation in thermal images is higher than in case of Viola-Jones.

Klíčová slova

biometrics, face segmentation, vertical and horizontal projection

Autoři

MEKYSKA, J.; ESPINOSA-DURÓ, V.; FAÚNDEZ ZANUY, M.

Vydáno

8. 10. 2010

Nakladatel

IEEE

Místo

San José, USA

ISBN

978-1-4244-7400-4

Strany od

185

Strany do

189

Strany počet

5

BibTex

@proceedings{BUT66018,
  editor="Jiří {Mekyska} and Virginia {Espinosa-Duró} and Marcos {Faúndez Zanuy}",
  title="Face segmentation: a comparison between visible and thermal images",
  year="2010",
  pages="185--189",
  publisher="IEEE",
  address="San José, USA",
  isbn="978-1-4244-7400-4"
}