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date: 10 December 2019

Abstract and Keywords

Perceptual features—properties of objects as the visual system represents them—are a central construct of perception. Classically, features have been treated as deterministic qualities of images, assigned definite values based on image structure. But the development of probabilistic models of perception has led to a new way of understanding features, treating them as probabilistic estimates of parameters of the scene. This chapter briefly develops the probabilistic conception of features, illustrating it with examples drawn from the literature on perceptual organization. Major topics include non-accidental features and non-local features.

Keywords: perception, probability, perceptual features, perceptual organization

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