An study on ear detection and its applications to face detection
Data(s) |
24/11/2015
24/11/2015
2011
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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 |