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Color and shape interactions in the recognition of natural scenes by human and monkey observers
Author(s) -
S Liebe,
Ernst Fischer,
Nikos K. Logothetis,
Gregor Rainer
Publication year - 2009
Publication title -
journal of vision
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.126
H-Index - 113
ISSN - 1534-7362
DOI - 10.1167/9.5.14
Subject(s) - luminance , computer vision , artificial intelligence , trichromacy , color vision , stimulus (psychology) , color discrimination , computer science , human visual system model , cognitive neuroscience of visual object recognition , colored , pattern recognition (psychology) , psychophysics , communication , object (grammar) , perception , psychology , image (mathematics) , neuroscience , cognitive psychology , materials science , composite material
Trichromatic color vision is a fundamental aspect of the visual system shared by humans and non-human primates. In human observers, color has been shown to facilitate object identification. However, little is known about the role that color plays in higher level vision of non-human primates. Here, we addressed this question and studied the interaction between luminance- and color-based structural information for the recognition of natural scenes. We present psychophysical data showing that both monkey and human observers equally profited from color when recognizing natural scenes, and they were equally impaired when scenes were manipulated using colored noise. This effect was most prominent for degraded image conditions. By using a specific procedure for stimulus degradation, we found that the improvement as well as the impairment in visual memory performance is due to contribution of image color independent of luminance-based object information. Our results demonstrate that humans as well as non-human primates exploit their sensory ability of color vision to achieve higher performance in visual recognition tasks especially when shape features are degraded.

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