In this paper we describe a face detection algorithm, the key idea being to determine roughly the skin regions of a 2D color image and searching for eyes through them. The technique is based on a support vector machine trained to separate sub images representing eyes from others. The algorithm can be used in face image database management systems both as a first step of a person identification, and to discriminate the images on the basis of the number of faces in them.

Face detection in color images of generic scenes / P. Campadelli, R. Lanzarotti, G. Lipori - In: Proceedings of the 2004 IEEE international conference on computational intelligence for homeland security and personal safety : S. Giuliano, Venice, Italy, 21-22 July 2004Piscataway : IEEE, 2004. - ISBN 0780383818. - pp. 97-103 (( convegno International Conference on Computational Intelligence for Homeland Security and Personal Safety tenutosi a Venezia, Italy nel 2004.

Face detection in color images of generic scenes

P. Campadelli
Primo
;
R. Lanzarotti
Secondo
;
G. Lipori
Ultimo
2004

Abstract

In this paper we describe a face detection algorithm, the key idea being to determine roughly the skin regions of a 2D color image and searching for eyes through them. The technique is based on a support vector machine trained to separate sub images representing eyes from others. The algorithm can be used in face image database management systems both as a first step of a person identification, and to discriminate the images on the basis of the number of faces in them.
2D color image ; color images ; eye searching ; face detection algorithm ; face image database management systems ; image discrimination ; image representation ; image separation ; person identification ; skin region determination ; support vector machine
Settore INF/01 - Informatica
IEEE
http://ieeexplore.ieee.org/search/srchabstract.jsp?tp=&arnumber=1360217&queryText%3DFace+detection+in+color+images+of+generic+scenes%26openedRefinements%3D*%26searchField%3DSearch+All
Book Part (author)
File in questo prodotto:
Non ci sono file associati a questo prodotto.
Pubblicazioni consigliate

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/2434/144152
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 5
  • ???jsp.display-item.citation.isi??? 3
social impact