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Please use this identifier to cite or link to this item: http://hdl.handle.net/2328/25765

Title: Commonsense knowledge-based face detection
Authors: Kouzani, Abbas
He, Fangpo
Sammut, Karl
Keywords: Common-sense reasoning
Face recognition
Fuzzy logic
Neural networks
Issue Date: 1997
Publisher: Institute of Electrical and Electronics Engineers Computer Society (IEEE Publishing)
Citation: Kouzani, A.Z., He, F. and Sammut, K. 1997. Commonsense knowledge-based face detection. 1997 International Conference on Intelligent Engineering Systems (INES), 215-220.
Abstract: A connectionist model is presented for commonsense knowledge representation and reasoning. The representation and reasoning ability of the model is described through examples. The commonsense knowledge base is employed to develop a human face detection system. The system consists of three stages: preprocessing, face-components extraction, and final decision-making. A neural network-based algorithm is utilised to extract face components. Five networks are trained to detect mouth, nose, eyes, and full face. The detected face components and their corresponding possibility degrees allow the knowledge base to locate faces in the image and generate a membership degree for the detected faces within the face class. The experimental results obtained using this method are presented.
URI: http://hdl.handle.net/2328/25765
ISBN: 0780336275
Appears in Collections:Computer Science, Engineering and Mathematics - Collected Works

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