Conference of the Spanish Association for Artificial Intelligence

CAEPIA 2011: Advances in Artificial Intelligence pp 313-322

An Study on Ear Detection and Its Applications to Face Detection

  • Modesto Castrillón-Santana
  • Javier Lorenzo-Navarro
  • Daniel Hernández-Sosa
Conference paper

DOI: 10.1007/978-3-642-25274-7_32

Volume 7023 of the book series Lecture Notes in Computer Science (LNCS)
Cite this paper as:
Castrillón-Santana M., Lorenzo-Navarro J., Hernández-Sosa D. (2011) An Study on Ear Detection and Its Applications to Face Detection. In: Lozano J.A., Gámez J.A., Moreno J.A. (eds) Advances in Artificial Intelligence. CAEPIA 2011. Lecture Notes in Computer Science, vol 7023. Springer, Berlin, Heidelberg

Abstract

OpenCV includes different 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 profile or almost profile 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 classifiers 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.

Keywords

face detection facial feature detection ear detection Viola-Jones 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2011

Authors and Affiliations

  • Modesto Castrillón-Santana
    • 1
  • Javier Lorenzo-Navarro
    • 1
  • Daniel Hernández-Sosa
    • 1
  1. 1.SIANI Campus de TafiraUniversidad de Las Palmas de Gran CanariaSpain