Catch model: A solution to the problem of saliency in facial features

Sam S. Rakover; Baruch Cahlon

doi:10.1163/156856899X00049

Catch model: A solution to the problem of saliency in facial features

Sam S. Rakover, Baruch Cahlon

Department of Psychology

Research output: Contribution to journal › Article › peer-review

Abstract

The goal of the present paper is to propose a solution to the `saliency problem' which has been raised in regard to Rakover and Cahlon's (1989) Catch model for identifying a previously seen target face (F_t). In contrast to real life situations, the Catch model assigned the same weight to different facial dimensions and values. Mathematical proofs, reanalyses of the results of three experiments reported in Rakover and Cahlon, and the analysis of the results of a new experiment show that this proposal expands and improves the Catch model.

Original language	English
Pages (from-to)	73-81
Number of pages	9
Journal	Spatial Vision
Volume	12
Issue number	1
DOIs	https://doi.org/10.1163/156856899X00049
State	Published - 1999

ASJC Scopus subject areas

Experimental and Cognitive Psychology
Computer Vision and Pattern Recognition

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Catch model: A solution to the problem of saliency in facial features

Abstract

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