Face recognition: combining cognitive psychology and image engineering

Allinson, N. M. and Ellis, A. W. (1992) Face recognition: combining cognitive psychology and image engineering. IEE Electronics and Communication Engineering Journal, 4 (5). pp. 291-300. ISSN 0954-0695

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Abstract

Many cognitive tasks that are easy for humans to perform are proving difficult to emulate in computer systems. Combining the disciplines of psychology and engineering may offer a solution to some of these problems. A connectionist or neural network model of face recognition by humans which incorporates aspects of a model proposed by cognitive psychologists is presented. A comparative set of experiments has been performed using this simulation and human subjects for familiar face recognition. By employing the same stimuli for both humans and the computer model, it is possible to advance not only our understanding of human cognition but also to develop improved automated systems for face recognition

Additional Information:Many cognitive tasks that are easy for humans to perform are proving difficult to emulate in computer systems. Combining the disciplines of psychology and engineering may offer a solution to some of these problems. A connectionist or neural network model of face recognition by humans which incorporates aspects of a model proposed by cognitive psychologists is presented. A comparative set of experiments has been performed using this simulation and human subjects for familiar face recognition. By employing the same stimuli for both humans and the computer model, it is possible to advance not only our understanding of human cognition but also to develop improved automated systems for face recognition
Keywords:cognitive system, face recognition, feedforward neural nets, psychology
Subjects:G Mathematical and Computer Sciences > G750 Cognitive Modelling
G Mathematical and Computer Sciences > G730 Neural Computing
Divisions:College of Science > School of Computer Science
ID Code:5068
Deposited On:20 Apr 2012 11:09

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