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CIARP
2007
Springer

An Analysis of Automatic Gender Classification

13 years 7 months ago
An Analysis of Automatic Gender Classification
Different researches suggest that inner facial features are not the only discriminative features for tasks such as person identification or gender classification. Indeed, they have shown an influence of features which are part of the local face context, such as hair, on these tasks. However, object-centered approaches which ignore local context dominate the research in computational vision based facial analysis. In this paper, we performed an analysis to study which areas and which resolutions are diagnostic for the gender classification problem. We first demonstrate the importance of contextual features in human observers for gender classification using a psychophysical "bubbles" technique. The success rate achieved without internal facial information convinced us to analyze the performance of an appearance-based representation which takes into account facial areas and resolutions that integrate inner features and local context.
Modesto Castrillón Santana, Quoc C. Vuong
Added 13 Aug 2010
Updated 13 Aug 2010
Type Conference
Year 2007
Where CIARP
Authors Modesto Castrillón Santana, Quoc C. Vuong
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