Authors:
C. Spampinato
1
;
M. Nicotra
2
and
A. Travaglianti
2
Affiliations:
1
University of Catania, Italy
;
2
Catania Territorio d’Eccellenza – ICT E1, Italy
Keyword(s):
Face Recognition, Bottom-up Attentive Analysis, FOAs distribution.
Related
Ontology
Subjects/Areas/Topics:
Applications
;
Biomedical Engineering
;
Biomedical Signal Processing
;
Biometrics
;
Biometrics and Pattern Recognition
;
Multimedia
;
Multimedia Signal Processing
;
Pattern Recognition
;
Telecommunications
Abstract:
In this paper we propose an automated approach to recognize human faces based on the analysis of the distribution of the focuses of attention (FOAs) that reproduces the ability of the humans in the interpretation of visual scenes. The analysis of the FOAs (distribution and position), carried out by an efficient and source light independent visual attention module, allows us to integrate the face features (e.g., eyes, nose, mouth shape) and the holistic features (the relations between the various parts of the face). Moreover, a remarkable approach has been developed for skin recognition based on the shifting of the Hue plane in the HSL color space.