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date: 19 January 2019

Abstract and Keywords

Computational theories of shape perception predicted that shape information is concentrated along the contour, primarily at locations where curvature takes on special values (maxima, minima, and inflection points). Psychophysical studies inspired by the computational theories explored how humans encode shape and how they identify and segment outlines of everyday objects. These studies found that shape information was distributed along the contour as predicted. But the local neighborhoods and global configurations in which the curvature singularities were embedded also played an important role. This work revealed highly flexible interaction of local and global processes that change as visual processing unfolds over time. The results provide benchmarks for computational models of shape-based object encoding.

Keywords: Shape, contour, curvature, perceptual grouping, configuration, microgenesis, object identification

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