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Title: MEG: Multi-Expert Gender classification from face images in a demographics-balanced dataset
Authors: Castrillón-Santana, Modesto 
De Marsico, Maria
Nappi, Michele
Riccio, Daniel
UNESCO Clasification: 120304 Inteligencia artificial
Keywords: Recognition
Issue Date: 2015
Publisher: Springer 
Journal: Lecture Notes in Computer Science 
Conference: 18th International Conference on Image Analysis and Processing (ICIAP 2015) 
Abstract: In this paper we focus on gender classification from face images, which is still a challenging task in unrestricted scenarios. This task can be useful in a number of ways, e.g., as a preliminary step in biometric identity recognition supported by demographic information.We compare a feature based approach with two score based ones. In the former, we stack a number of feature vectors obtained by different operators, and train a SVM based on them. In the latter, we separately compute the individual scores from the same operators, then either we feed them to a SVM, or exploit likelihood ratio based on a pairwise comparison of their answers.
ISBN: 978-3-319-23230-0
ISSN: 0302-9743
DOI: 10.1007/978-3-319-23231-7_2
Source: Image Analysis and Processing — ICIAP 2015. ICIAP 2015. Lecture Notes in Computer Science, v. 9279 LNCS, p. 15-26
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