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Stuart A Wallis
Mark A Georgeson

Vision research

Showing results (1-10 of 17) with videos related to

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Vision Research|May 12, 2009
Mach edges: local features predicted by 3rd derivative spatial filteringStuart A Wallis, Mark A Georgeson
Vision Research|October 9, 2012
The slope of the psychometric function and non-stationarity of thresholds in spatiotemporal contrast visionStuart A Wallis, Daniel H Baker, Tim S Meese, et al.
Vision Research|August 31, 2016
Contrast and lustre: A model that accounts for eleven different forms of contrast discrimination in binocular visionMark A Georgeson, Stuart A Wallis, Tim S Meese, et al.
Vision Research|February 1, 2012
Nonlinearities in the binocular combination of luminance and contrastDaniel H Baker, Stuart A Wallis, Mark A Georgeson, et al.
Vision Research|April 24, 2021
Contrast adaptation and interocular transfer in cortical cells: A re-analysis & a two-stage gain-control model of binocular combinationMark A Georgeson, Frank Sengpiel
Vision Research|April 20, 2007
Blurred edges look faint, and faint edges look sharp: the effect of a gradient threshold in a multi-scale edge coding modelKeith A May, Mark A Georgeson
Vision Research|January 22, 2003
Sensitivity to contrast modulation: the spatial frequency dependence of second-order visionAndrew J Schofield, Mark A Georgeson
Vision Research|September 25, 2016
Binocular functional architecture for detection of contrast-modulated gratingsMark A Georgeson, Andrew J Schofield
Vision Research|December 22, 2004
Edges and bars: where do people see features in 1-D images?Gillian S Hesse, Mark A Georgeson
Vision Research|May 1, 2007
Added luminance ramp alters perceived edge blur and contrast: a critical test for derivative-based models of edge codingKeith A May, Mark A Georgeson
Pageof 2

Showing results (1-10 of 17) with videos related to

Sort By:
Pageof 2
Vision Research|May 12, 2009
Mach edges: local features predicted by 3rd derivative spatial filteringStuart A Wallis, Mark A Georgeson
Vision Research|October 9, 2012
The slope of the psychometric function and non-stationarity of thresholds in spatiotemporal contrast visionStuart A Wallis, Daniel H Baker, Tim S Meese, et al.
Vision Research|August 31, 2016
Contrast and lustre: A model that accounts for eleven different forms of contrast discrimination in binocular visionMark A Georgeson, Stuart A Wallis, Tim S Meese, et al.
Vision Research|February 1, 2012
Nonlinearities in the binocular combination of luminance and contrastDaniel H Baker, Stuart A Wallis, Mark A Georgeson, et al.
Vision Research|April 24, 2021
Contrast adaptation and interocular transfer in cortical cells: A re-analysis & a two-stage gain-control model of binocular combinationMark A Georgeson, Frank Sengpiel
Vision Research|April 20, 2007
Blurred edges look faint, and faint edges look sharp: the effect of a gradient threshold in a multi-scale edge coding modelKeith A May, Mark A Georgeson
Vision Research|January 22, 2003
Sensitivity to contrast modulation: the spatial frequency dependence of second-order visionAndrew J Schofield, Mark A Georgeson
Vision Research|September 25, 2016
Binocular functional architecture for detection of contrast-modulated gratingsMark A Georgeson, Andrew J Schofield
Vision Research|December 22, 2004
Edges and bars: where do people see features in 1-D images?Gillian S Hesse, Mark A Georgeson
Vision Research|May 1, 2007
Added luminance ramp alters perceived edge blur and contrast: a critical test for derivative-based models of edge codingKeith A May, Mark A Georgeson
Pageof 2