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

Title:	Viola-Jones based detectors: how much affects the training set?
Authors:	Castrillón-Santana, Modesto Hernandez-Sosa, Daniel Lorenzo-Navarro, Javier
UNESCO Clasification:	120304 Inteligencia artificial
Keywords:	Viola-Jones detectors Facial feature detection Training sets
Issue Date:	2011
Publisher:	Springer
Project:	Tecnicas de Visión Para la Interacción en Entornos de Interior Con Elaboración Mapas Cognitivos en Sistemas Perceptuales Heterogéneos.
Journal:	Lecture Notes in Computer Science
Conference:	5th Iberian Conference on Pattern Recognition and Image Analysis (IbPRIA) 5th Iberian Conference on Pattern Recognition and Image Analysis, IbPRIA 2011
Abstract:	This paper presents a study on the facial feature detection performance achieved using the Viola-Jones framework. A set of classi- ers using two di erent focuses to gather the training samples is created and tested on four di erent datasets covering a wide range of possibili- ties. The results achieved should serve researchers to choose the classi er that better ts their demands.
URI:	http://hdl.handle.net/10553/15079
ISBN:	978-3-642-21256-7
ISSN:	0302-9743
DOI:	10.1007/978-3-642-21257-4_37
Source:	Vitrià J., Sanches J.M., Hernández M. (eds) Pattern Recognition and Image Analysis. IbPRIA 2011. Lecture Notes in Computer Science, vol 6669. Springer, Berlin, Heidelberg, v. 6669 LNCS, p. 297-304
Appears in Collections:	Actas de congresos

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