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


Autoria(s): Castrillón-Santana, Modesto; Hernández Sosa, José Daniel; Lorenzo Navarro, José Javier
Data(s)

24/11/2015

24/11/2015

2011

Resumo

<p>[EN]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.</p>

Identificador

http://hdl.handle.net/10553/15079

716449

<p>10.1007/978-3-642-21257-4_37</p>

Idioma(s)

eng

Direitos

info:eu-repo/semantics/openAccess

Fonte

<p>Pattern Recognition and Image Analysis. 5th Iberian Conference IbPRIA 2011, Proceedings. Berlin: Springer, 2011 (Lecture Notes in Computer Science, ISSN 0302-9743; vol. 6669, pp 297-304). ISBN 978-3-642-21256-7. Online ISBN 978-3-642-21257-4</p>

Palavras-Chave #120304 Inteligencia artificial
Tipo

info:eu-repo/semantics/conferenceObject