Please use this identifier to cite or link to this item: http://hdl.handle.net/10553/15081
Title: An study on ear detection and its applications to face detection
Authors: Castrillón-Santana, Modesto 
Lorenzo-Navarro, Javier 
Hernandez-Sosa, Daniel 
UNESCO Clasification: 120304 Inteligencia artificial
Keywords: Face detection
Facial feature detection
Ear detection
Viola- Jones
Issue Date: 2011
Journal: Lecture Notes in Computer Science 
Conference: 14th Conference of the Spanish Association for Artificial Intelligence (CAEPIA 2011) 
14th Conference of the Spanish Association for Artificial Intelligence, CAEPIA 2011 
Abstract: 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.
URI: http://hdl.handle.net/10553/15081
ISBN: 9783642252730
ISSN: 0302-9743
DOI: 10.1007/978-3-642-25274-7_32
Source: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) [ISSN 0302-9743], v. 7023 LNCS, p. 313-322
Appears in Collections:Actas de congresos
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