Publication detail

Face segmentation: a comparison between visible and thermal images

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

Original Title

Face segmentation: a comparison between visible and thermal images

Type

conference proceedings

Language

English

Original Abstract

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.

Keywords

biometrics, face segmentation, vertical and horizontal projection

Authors

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

Released

8. 10. 2010

Publisher

IEEE

Location

San José, USA

ISBN

978-1-4244-7400-4

Pages from

185

Pages to

189

Pages count

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"
}