Viola-Jones based detectors: how much affects the training set?

Authors:
Modesto Castrillón-Santana;Daniel Hernández-Sosa;Javier Lorenzo-Navarro
Affiliations:
SIANI, Edif. Central del Parque Científico Tecnológico, Universidad de Las Palmas de Gran Canaria, Spain;SIANI, Edif. Central del Parque Científico Tecnológico, Universidad de Las Palmas de Gran Canaria, Spain;SIANI, Edif. Central del Parque Científico Tecnológico, Universidad de Las Palmas de Gran Canaria, Spain
Venue:
IbPRIA'11 Proceedings of the 5th Iberian conference on Pattern recognition and image analysis
Year:
2011

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Abstract

This paper presents a study on the facial feature detection performance achieved using the Viola-Jones framework. A set of classifiers using two different focuses to gather the training samples is created and tested on four different datasets covering a wide range of possibilities. The results achieved should serve researchers to choose the classifier that better fits their demands.