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WACV
2008
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Fast and Fully Automatic Ear Detection Using Cascaded AdaBoost

10 years 6 months ago
Fast and Fully Automatic Ear Detection Using Cascaded AdaBoost
Ear detection from a profile face image is an important step in many applications including biometric recognition. But accurate and rapid detection of the ear for real-time applications is a challenging task, particularly in the presence of occlusions. In this work, a cascaded AdaBoost based ear detection approach is proposed. In an experiment with a test set of 203 profile face images, all the ears were accurately detected by the proposed detector with a very low (5 × 10−6 ) false positive rate. It is also very fast and relatively robust to the presence of occlusions and degradation of the ear images (e.g. motion blur). The detection process is fully automatic and does not require any manual intervention.
Syed M. S. Islam, Mohammed Bennamoun, Rowan Davies
Added 01 Jun 2010
Updated 01 Jun 2010
Type Conference
Year 2008
Where WACV
Authors Syed M. S. Islam, Mohammed Bennamoun, Rowan Davies
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