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.
Accelerating Research
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom
Address
John Eccles HouseRobert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom