First Asia International Conference on Modelling & Simulation (AMS'07) Face Detecting Using Artificial Neural Network Approach Prince of Songkla University, Phuket, Thailand March 27-March 30 ISBN: 0-7695-2845-7
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/AMS.2007.38
A frontal face detection system using artificial neural network is presented. The system used integral image for image representation which allows fast computation of the features used. The system also applies the AdaBoost learning algorithm to select a small number of critical visual features from a very large set of potential features. Besides that, it also used cascade of classifiers algorithm which allows background regions of the image to be quickly discarded while spending more computation on promising face-like regions. Furthermore, a set of experiments in the domain of face detection is presented. The system yields a promising face detection performance.
Citation:
Shahrin Azuan Nazeer, Nazaruddin Omar, Khairol Faisal Jumari, Marzuki Khalid, "Face Detecting Using Artificial Neural Network Approach," ams, pp.394-399, First Asia International Conference on Modelling & Simulation (AMS'07), 2007 Usage of this product signifies your acceptance of the Terms of Use. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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