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FGR
2000
IEEE

A Fast and Accurate Face Detector for Indexation of Face Images

14 years 3 months ago
A Fast and Accurate Face Detector for Indexation of Face Images
Detecting faces in images with complex backgrounds is a difficult task. Our approach, which obtains state of the art results, is based on a generative neural network model: the Constrained Generative Model (CGM). To detect side view faces and to decrease the number of false alarms, a conditional mixture of networks is used. To decrease the computationaltimecost,afastsearchalgorithmisproposed. The level of performance reached, in terms of detection accuracy and processing time, allows to apply this detector to a real word application: the indexation of face images on the Web.
Raphaël Feraud, Olivier Bernier, Jean-Emmanue
Added 31 Jul 2010
Updated 31 Jul 2010
Type Conference
Year 2000
Where FGR
Authors Raphaël Feraud, Olivier Bernier, Jean-Emmanuel Viallet, Michel Collobert
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