Utiliza este identificador para citar o vincular este elemento: http://hdl.handle.net/10553/15081
Títulos: An study on ear detection and its applications to face detection
Autores/as: Castrillón-Santana, Modesto 
Lorenzo Navarro, José Javier 
Hernández Sosa, José Daniel 
Clasificación UNESCO: 120304 Inteligencia artificial
Palabras clave: Face detection
Facial feature detection
Ear detection
Viola- Jones
Fecha de publicación: 2011
Resumen: 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
DOI: 10.1007/978-3-642-25274-7_32
Aparece en la colección:Actas de Congresos

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