Computational approaches to human pattern recognition

Computational approaches to human pattern recognition Computational approaches to human pattern recognition TERRY CAELLI1,* and WALTER F. BISCHOF2 1 Department of Computer Science, Curtin University of Technology, GPO Box U1987, Perth, WA 6001, Australia 2 Department of Psychology, University of Alberta, Edmonton, Alberta T6G 2E9, Canada Received for publication 11 October 1993 Abstract-This paper consolidates recent findings on how humans detect and recognize patterns and considers computational procedures which reflect observed performance. A multi-level correlation model for spatial information processing is proposed and used to interpret past results on human psychophysical performance. 1. INTRODUCTION The aim of this paper is to consolidate research completed over the past decade into how humans detect and recognize forms or shapes, and to present an overview of the underlying processes which capture various aspects of observed behaviour. Different types of recognition problems are considered and it is shown that a common set of computational procedures seems to underpin the known performance of the human visual system in interpreting images. However, before dealing with these issues in some detail, some consideration of what is understood by 'form' and 'shape' is necessary. Pattern, form or structure are quite difficult to define in a succinct way. But one necessary condition for http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Spatial Vision (continued as Seeing & Perceiving from 2010) Brill

Computational approaches to human pattern recognition

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Publisher
BRILL
Copyright
© 1994 Koninklijke Brill NV, Leiden, The Netherlands
ISSN
0169-1015
eISSN
1568-5683
D.O.I.
10.1163/156856894X00242
Publisher site
See Article on Publisher Site

Abstract

Computational approaches to human pattern recognition TERRY CAELLI1,* and WALTER F. BISCHOF2 1 Department of Computer Science, Curtin University of Technology, GPO Box U1987, Perth, WA 6001, Australia 2 Department of Psychology, University of Alberta, Edmonton, Alberta T6G 2E9, Canada Received for publication 11 October 1993 Abstract-This paper consolidates recent findings on how humans detect and recognize patterns and considers computational procedures which reflect observed performance. A multi-level correlation model for spatial information processing is proposed and used to interpret past results on human psychophysical performance. 1. INTRODUCTION The aim of this paper is to consolidate research completed over the past decade into how humans detect and recognize forms or shapes, and to present an overview of the underlying processes which capture various aspects of observed behaviour. Different types of recognition problems are considered and it is shown that a common set of computational procedures seems to underpin the known performance of the human visual system in interpreting images. However, before dealing with these issues in some detail, some consideration of what is understood by 'form' and 'shape' is necessary. Pattern, form or structure are quite difficult to define in a succinct way. But one necessary condition for

Journal

Spatial Vision (continued as Seeing & Perceiving from 2010)Brill

Published: Jan 1, 1994

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