An study on ear detection and its applications to face detection


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

24/11/2015

24/11/2015

2011

Resumo

<p>[EN]OpenCV includes di erent object detectors based on the Viola-Jones framework. Most of them are specialized to deal with the frontal face pattern and its inner elements: eyes, nose, and mouth. In this paper, we focus on the ear pattern detection, particularly when a head pro le or almost pro le view is present in the image. We aim at creating real-time ear detectors based on the general object detection framework provided with OpenCV. After training classi ers to detect left ears, right ears, and ears in general, the performance achieved is valid to be used to feed not only a head pose estimation system but also other applications such as those based on ear biometrics.</p>

Identificador

http://hdl.handle.net/10553/15081

716477

<p>10.1007/978-3-642-25274-7_32</p>

Idioma(s)

eng

Direitos

info:eu-repo/semantics/openAccess

Fonte

<p>Advances in Artificial Intelligence. 14th Conference of the Spanish Association for Artificial Intelligence, CAEPIA 2011, Proceedings. Berlin: Springer, 2011 (Lecture Notes in Computer Science, ISSN 0302-9743; vol. 7023, pp. 313-322). ISBN 978-3-642-25273-0. Online ISBN 978-3-642-25274-7</p>

Palavras-Chave #120304 Inteligencia artificial
Tipo

info:eu-repo/semantics/conferenceObject