Measuring and Modeling Visual Appearance

Laurence T. Maloney, Kenneth Knoblauch

Research output: Contribution to journalArticle

Abstract

In studying visual perception, we seek to develop models of processing that accurately predict perceptual judgments. Much of this work is focused on judgments of discrimination, and there is a large literature concerning models of visual discrimination. There are, however, non-threshold visual judgments, such as judgments of the magnitude of differences between visual stimuli, that provide a means to bridge the gap between threshold and appearance. We describe two such models of suprathreshold judgments, maximum likelihood difference scaling and maximum likelihood conjoint measurement, and review recent literature that has exploited them.

Original languageEnglish (US)
Pages (from-to)519-537
Number of pages19
JournalAnnual review of vision science
Volume6
DOIs
StatePublished - Sep 15 2020

Keywords

  • diagnostics
  • maximum likelihood conjoint measurement
  • maximum likelihood difference scaling
  • MLCM
  • MLDS
  • proximity
  • scaling
  • suprathreshold

ASJC Scopus subject areas

  • Ophthalmology
  • Clinical Neurology

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