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
Spatial Vision (continued as Seeing & Perceiving from 2010) – Brill
Published: Jan 1, 1994
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