Open Access
Lecture Notes in Computer Science, pages 313-322
An Study on Ear Detection and Its Applications to Face Detection
Publication type: Book Chapter
Publication date: 2011-10-29
Journal:
Lecture Notes in Computer Science
Q2
SJR: 0.606
CiteScore: 2.6
Impact factor: —
ISSN: 03029743, 16113349, 18612075, 18612083
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.
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Castrillón-Santana M., Lorenzo Navarro J., Hernández Sosa D. An Study on Ear Detection and Its Applications to Face Detection // Lecture Notes in Computer Science. 2011. pp. 313-322.
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Castrillón-Santana M., Lorenzo Navarro J., Hernández Sosa D. An Study on Ear Detection and Its Applications to Face Detection // Lecture Notes in Computer Science. 2011. pp. 313-322.
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TY - GENERIC
DO - 10.1007/978-3-642-25274-7_32
UR - https://doi.org/10.1007/978-3-642-25274-7_32
TI - An Study on Ear Detection and Its Applications to Face Detection
T2 - Lecture Notes in Computer Science
AU - Castrillón-Santana, Modesto
AU - Lorenzo Navarro, Javier
AU - Hernández Sosa, Daniel
PY - 2011
DA - 2011/10/29
PB - Springer Nature
SP - 313-322
SN - 0302-9743
SN - 1611-3349
SN - 1861-2075
SN - 1861-2083
ER -
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@incollection{2011_Castrillón-Santana,
author = {Modesto Castrillón-Santana and Javier Lorenzo Navarro and Daniel Hernández Sosa},
title = {An Study on Ear Detection and Its Applications to Face Detection},
publisher = {Springer Nature},
year = {2011},
pages = {313--322},
month = {oct}
}