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

Sam S. Rakover, Baruch Cahlon

Research output: Contribution to journalArticlepeer-review


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 (Ft). 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 languageEnglish
Pages (from-to)73-81
Number of pages9
JournalSpatial Vision
Issue number1
StatePublished - 1999

ASJC Scopus subject areas

  • Experimental and Cognitive Psychology
  • Computer Vision and Pattern Recognition


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