A Computational Approach to Edge Detection
IEEE Transactions on Pattern Analysis and Machine Intelligence
Shape Model-Based 3D Ear Detection from Side Face Range Images
CVPR '05 Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05) - Workshops - Volume 03
An Automatic 3D Ear Recognition System
3DPVT '06 Proceedings of the Third International Symposium on 3D Data Processing, Visualization, and Transmission (3DPVT'06)
Localization of Ear Using Outer Helix Curve of the Ear
ICCTA '07 Proceedings of the International Conference on Computing: Theory and Applications
IEEE Transactions on Pattern Analysis and Machine Intelligence
Biometric Recognition Using 3D Ear Shape
IEEE Transactions on Pattern Analysis and Machine Intelligence
Efficient Facial Feature Detection Using Entropy and SVM
ISVC '08 Proceedings of the 4th International Symposium on Advances in Visual Computing
A Skin-Color and Template Based Technique for Automatic Ear Detection
ICAPR '09 Proceedings of the 2009 Seventh International Conference on Advances in Pattern Recognition
Fast and Fully Automatic Ear Detection Using Cascaded AdaBoost
WACV '08 Proceedings of the 2008 IEEE Workshop on Applications of Computer Vision
On shape-mediated enrolment in ear biometrics
ISVC'07 Proceedings of the 3rd international conference on Advances in visual computing - Volume Part II
Particle swarm optimization with quantum infusion for system identification
Engineering Applications of Artificial Intelligence
An efficient ear localization technique
Image and Vision Computing
Guest Editorial Special Issue on Particle Swarm Optimization
IEEE Transactions on Evolutionary Computation
Adaptive filtering noisy transcranial Doppler signal by using artificial bee colony algorithm
Engineering Applications of Artificial Intelligence
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Ear detection in facial images under uncontrolled environments with varying occlusion, pose, background and lighting conditions is challenging. In this paper, we propose a novel technique, namely Entropic Binary Particle Swarm Optimization (EBPSO) which generates an entropy map, the highest value of which is used to localize the ear in a face image. Also, Dual Tree Complex Wavelet Transform (DTCWT) based background pruning is used to eliminate most of the background in the face image. This is achieved as a result of DTCWT highlighting the strong curves in the foreground. The resulting preprocessed image contains the salient facial features and prepares the ground for ear detection. The Entropy based classifier successfully demarcates the ear regions from other facial features, based on observed patterns of entropy. Experimental results show the promising performance of EBPSO for ear detection on four benchmark face databases: CMU PIE, Pointing Head Pose, Color FERET and UMIST.