title: Perceptual organization of two-dimensional patterns.
abstract: The perceptual organization of image patterns is considered from 2 standpoints. First, a theoretical framework is presented from which computational models of perceptual organization can be constructed and tested. Second, a specific computational model for perceptual organization of line images is described. In this model, input images are first processed by a dense array of neurons that have properties consistent with recent analyses of single-neuron responses in primary visual cortex. Then, complex image structure is discovered by interleaved pattern-matching and grouping processes constrained by a generalized uniqueness principle. A series of 3-pattern grouping experiments was performed to test a restricted version of the model and to estimate critical parameters. Using the estimated parameters, an extended version of the model was tested by generating predictions for a series of "textbook" perceptual organization demonstrations.
authors.affiliation: U Texas.
authors.forename: Wilson S
authors.initials: WS
authors.lastname: Geisler
authors.forename: Boaz J
authors.initials: BJ
authors.lastname: Super
mesh_terms: D006801:Humans; D008960:Models, Psychological; D010465:Perception / Q000502:physiology*; D011581:Psychological Tests / Q000706:statistics & numerical data; D011582:Psychological Theory