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Visual search for direction of shading is influenced by apparent depth
Author(s) -
Deborah J. Aks,
James T. Enns
Publication year - 1992
Publication title -
perception and psychophysics
Language(s) - English
Resource type - Journals
eISSN - 1532-5962
pISSN - 0031-5117
DOI - 10.3758/bf03206760
Subject(s) - visual search , luminance , artificial intelligence , computer vision , contrast (vision) , task (project management) , curvature , computer science , property (philosophy) , feature (linguistics) , visual space , curse of dimensionality , pattern recognition (psychology) , mathematics , psychology , perception , geometry , engineering , philosophy , linguistics , systems engineering , epistemology , neuroscience
Recent reports of rapid visual search for some feature conjunctions suggested that preattentive vision might be sensitive to scene-based as well as to image-based features (Enns & Rensink, 1990a, 1990b). This study examined visual search for targets defined by the direction of a luminance gradient, a conjunction of luminance and relative location that often corresponds to object curvature and direction of lighting in naturalistic scenes. Experiment 1 showed that such search is influenced by several factors, including the type of gradient, the shape of the contour enclosing the gradient, and the background luminance. These factors were varied systematically in Experiment 2 in a three-dimensionality rating task and in a visual-search task. The factors combined interactively in the rating task, supporting the presence of an emergent property of three-dimensionality. In contrast, each factor contributed only additively to the speed of the visual-search task. This is inconsistent with the view that search is guided by specialized detectors for surface curvature or direction of lighting. Rather, it is in keeping with the view that search is governed by a number of "quick and dirty" processes that are implemented rapidly and in parallel across the visual field.

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