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CIARP
2009
Springer

Dealing with Inaccurate Face Detection for Automatic Gender Recognition with Partially Occluded Faces

9 years 6 months ago
Dealing with Inaccurate Face Detection for Automatic Gender Recognition with Partially Occluded Faces
Abstract. Gender recognition problem has not been extensively studied in situations where the face cannot be accurately detected and it also can be partially occluded. In this contribution, a comparison of several characterisation methods of the face is presented and they are evaluated in four different experiments that simulate the previous scenario. Two of the characterisation techniques are based on histograms, LBP and local contrast values, and the other one is a new kind of features, called Ranking Labels, that provide spatial information. Experiments have proved Ranking Labels description is the most reliable in inaccurate situations.
Yasmina Andreu, Pedro García-Sevilla, Ram&o
Added 26 May 2010
Updated 26 May 2010
Type Conference
Year 2009
Where CIARP
Authors Yasmina Andreu, Pedro García-Sevilla, Ramón Alberto Mollineda
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