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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Item Type: | Article |
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Item Status: | Live Archive |
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 |
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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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