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Coarse blobs or fine edges? Evidence that information diagnosticity changes the perception of complex visual stimuli

Oliva, Aude and Schyns, Phillipe G (1997) Coarse blobs or fine edges? Evidence that information diagnosticity changes the perception of complex visual stimuli. [Journal (Paginated)]

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Abstract

Efficient categorizations of complex visual stimuli require effective encodings of their distinctive properties. However, the question remains of how processes of object and scene categorization use the information associated with different perceptual spatial scales. The psychophysics of scale perception suggests a scenario in which recognition uses coarse blobs before fine scale edges, because the former is perceptually available before the latter. Although possible, this perceptually determined scenario neglects the nature of the task the recognition system must solve. If different spatial scales transmit different information about the input, an identical scene might be flexibly encoded and perceived at the scale that optimizes information for the considered task. This paper tests the hypothesis that scale diagnosticity can determine scale selection for recognition. Experiment 1 tested whether coarse and fine spatial scales were both available at the onset of scene categorization. The second experiment tested that the selection of one scale could change depending on the diagnostic information present at this scale. The third and fourth experiments investigated whether scale-specific cues were independently processed, or whether they perceptually cooperated in the recognition of the input scene. Results suggest that a mandatory perception of multiple spatial scales promotes flexible scene encodings, perceptions and categorizations.

Item Type:Journal (Paginated)
Keywords:spatial-frequency, semantic activation, conscious identification, unconscious perception, object identification, selective attention, face recognition, scene recognition, human-vision, pictures, masking
Subjects:Psychology > Cognitive Psychology
Computer Science > Machine Vision
Psychology > Physiological Psychology
ID Code:707
Deposited By:Schyns, Philippe G
Deposited On:24 Jun 1998
Last Modified:11 Mar 2011 08:54

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