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Understanding critical factors in appearance-based gender categorization

Grosso, Enrico and Lagorio, Andrea and Pulina, Luca and Tistarelli, Massimo (2012) Understanding critical factors in appearance-based gender categorization. In: Computer Vision - ECCV 2012: Workshops and Demonstrations: proceedings, Part II, 7-13 October 2012, Florence, Italy. Berlin - Heidelberg, Springer. p. 280-289. (Lecture Notes in Computer Science, 7584/2012). ISBN 978-3-642-33867-0. eISBN 978-3-642-33868-7. Conference or Workshop Item.

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DOI: 10.1007/978-3-642-33868-7_28


Gender categorization, based on the analysis of facial appearance, can be useful in a large set of applications. In this paper we investigate the gender classification problem from a non-conventional perspective. In particular, the analysis will aim to determine the factors critically affecting the accuracy of available technologies, better explaining differences between face-based identification and gender categorization.
A novel challenging protocol is proposed, exploiting the dimensions of the Face Recognition Grand Challenge version 2.0 database (FRGC2.0). This protocol is evaluated against several classification algorithms and different kind of features, such as Gabor and LBP. The results obtained show that gender classification can be made independent from other appearance-based factors such as the skin color, facial expression, and illumination condition.

Item Type:Conference or Workshop Item (Contribute)
ID Code:8019
Uncontrolled Keywords:Gender categorization, Face Recognition Grand Challenge version 2.0 database (FRGC2.0), facial appearance
Subjects:Area 09 - Ingegneria industriale e dell'informazione > ING-INF/05 Sistemi di elaborazione delle informazioni
Divisions:001 Università di Sassari > 01-a Nuovi Dipartimenti dal 2012 > Scienze Politiche, Scienze della Comunicazione e Ingegneria dell'Informazione
Deposited On:08 Oct 2012 12:50

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