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Discrete analysis of spatial-sensitivity modelsProcedures for reducing the computational burden of current models of spatial vision are described, the simplifications being consistent with the prediction of the complete model. A method for using pattern-sensitivity measurements to estimate the initial linear transformation is also proposed which is based on the assumption that detection performance is monotonic with the vector length of the sensor responses. It is shown how contrast-threshold data can be used to estimate the linear transformation needed to characterize threshold performance.
Document ID
19880052244
Acquisition Source
Legacy CDMS
Document Type
Reprint (Version printed in journal)
Authors
Nielsen, Kenneth R. K. (NASA Ames Research Center Moffett Field, CA, United States)
Wandell, Brian A. (NASA Ames Research Center Moffett Field; Stanford University, CA, United States)
Date Acquired
August 13, 2013
Publication Date
May 1, 1988
Publication Information
Publication: Optical Society of America, Journal, A: Optics and Image Science
Volume: 5
ISSN: 0740-3232
Subject Category
Behavioral Sciences
Accession Number
88A39471
Funding Number(s)
CONTRACT_GRANT: NCC2-307
CONTRACT_GRANT: NIH-EY-03164
Distribution Limits
Public
Copyright
Other

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