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Measuring and Modeling Visual Appearance.
Annual Review of Vision Science ( IF 5.0 ) Pub Date : 2020-09-16 , DOI: 10.1146/annurev-vision-030320-041152
Laurence T Maloney 1 , Kenneth Knoblauch 2, 3
Affiliation  

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.

中文翻译:


测量和建模外观。

在研究视觉感知时,我们寻求开发能够准确预测知觉判断的处理模型。这项工作大部分集中在对歧视的判断上,并且有大量关于视觉歧视模型的文献。但是,存在非阈值的视觉判断,例如视觉刺激之间差异的大小的判断,提供了一种手段来弥合阈值和外观之间的差距。我们描述了两种这样的超阈值判断模型,即最大似然差标度和最大似然联合测量,并回顾了利用它们的最新文献。

更新日期:2020-09-18
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