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The role of diagnostic color in 3 dimensional scenes
Author(s) -
Jeff Clifford,
Aude Oliva
Publication year - 2004
Publication title -
journal of vision
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.126
H-Index - 113
ISSN - 1534-7362
DOI - 10.1167/4.8.874
Subject(s) - artificial intelligence , computer vision , feature (linguistics) , grayscale , stereoscopy , computer science , color image , pixel , image (mathematics) , color histogram , perception , pattern recognition (psychology) , mathematics , image processing , psychology , philosophy , linguistics , neuroscience
Previous research (Oliva & Schyns, 2000) suggested that when a feature (e.g. color) is diagnostic of the meaning of a scene image (e.g. forests are green), altering this feature impairs recognition. In a similar vein, using ERP, the results of Goffaux et al (2004), suggest that diagnostic colors are an integrative part of the scene gist information computed during the early stage (~ 150 msec) of the visual processing.

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