Color constancy refers to the stability of object color appearance despite variations in the ambient lighting and surfaces present in an image. We propose to test a series of hypotheses about how human observers obtain a stable judgment of the color appearance of objects. In the initial period we plan to use multi-colored images presented on a CRT. The controlling software is designed to permit us to specify the spectral power distribution of the ambient lighting, and surface reflectance functions at different locations in the image. We will measure the achromatic locus (a curve in color space along which the display appears white) as a funciton of (1) the spatial position in the display, (2) the spectral power distribution of the ambient light used to generate the display, and (3) the selection of surface reflectance functions in the display. We play to use measurements of the achromatic locus to test two classes of theories of spatial integration of color information. Buchsbaum has suggested that the space average color of the display is the key image statistic that governs the system's color correction. Whittle and Challands (1969; Walraven, 1976) have suggested that the signal at the edges of the components of the image is the key image statistic that governs the system's color correction. We plan to use measurements of observer's ability to classify images to test a third color constancy algorithm. Maloney and Wandell (1986) suggested that color constancy can be obtained by using the spatial correlation of receptor responses.

Agency
National Institute of Health (NIH)
Institute
National Eye Institute (NEI)
Type
Research Project (R01)
Project #
5R01EY003164-13
Application #
3257426
Study Section
Visual Sciences B Study Section (VISB)
Project Start
1979-07-01
Project End
1993-02-28
Budget Start
1991-08-01
Budget End
1993-02-28
Support Year
13
Fiscal Year
1991
Total Cost
Indirect Cost
Name
Stanford University
Department
Type
Schools of Arts and Sciences
DUNS #
800771545
City
Stanford
State
CA
Country
United States
Zip Code
94305
Dumoulin, Serge O; Harvey, Ben M; Fracasso, Alessio et al. (2017) In vivo evidence of functional and anatomical stripe-based subdivisions in human V2 and V3. Sci Rep 7:733
Horiguchi, Hiroshi; Wandell, Brian A; Winawer, Jonathan (2016) A Predominantly Visual Subdivision of The Right Temporo-Parietal Junction (vTPJ). Cereb Cortex 26:639-646
Wandell, Brian A; Winawer, Jonathan (2015) Computational neuroimaging and population receptive fields. Trends Cogn Sci 19:349-57
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Witthoft, Nathan; Nguyen, Mai Lin; Golarai, Golijeh et al. (2014) Where is human V4? Predicting the location of hV4 and VO1 from cortical folding. Cereb Cortex 24:2401-8
Wandell, Brian A; Yeatman, Jason D (2013) Biological development of reading circuits. Curr Opin Neurobiol 23:261-8
Kay, Kendrick N; Winawer, Jonathan; Rokem, Ariel et al. (2013) A two-stage cascade model of BOLD responses in human visual cortex. PLoS Comput Biol 9:e1003079
Horiguchi, Hiroshi; Winawer, Jonathan; Dougherty, Robert F et al. (2013) Human trichromacy revisited. Proc Natl Acad Sci U S A 110:E260-9
Winawer, Jonathan; Kay, Kendrick N; Foster, Brett L et al. (2013) Asynchronous broadband signals are the principal source of the BOLD response in human visual cortex. Curr Biol 23:1145-53

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