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SUMMARY:Towards a Unified Model of Contrast Sensitivity - Maliha Ashraf\, 
 University of Cambridge
DTSTART:20240319T150000Z
DTEND:20240319T160000Z
UID:TALK213406@talks.cam.ac.uk
CONTACT:Rafal Mantiuk
DESCRIPTION:CSFs represent the human visual system’s ability to detect c
 ontrast variations and have found important applications in engineering\, 
 where they can be used to optimise designs to cater to human perceptual li
 mits. A comprehensive CSF model requires consideration of stimulus paramet
 ers\, including spatial and temporal frequencies\, luminance\, and colour\
 , among others. Despite an extensive collection of contrast sensitivity me
 asurements in the literature\, no current model covers the full stimulus p
 arameter space. The inception of ModelFest project more than two decades a
 go marked a pivotal moment in the research towards a unified visual detect
 ion modelling approach (Carney et al.\, 1999). The ambitious initiative la
 id the foundation for integrating diverse stimuli measurements under a coh
 esive framework. For CSF modelling specifically\, the physiological models
  from Barten (1999) and the analytical Pyramid of Visibility models (Watso
 n and Ahumada\, 2016\; Watson\, 2018) have been key advancements in the re
 search area. Our work on CSF during the last few years has been inspired b
 y these approaches. The study by Wuerger et al. (2020) marks the beginning
  of our work on modelling CSF. This work emphasises the importance of colo
 ur modulations alongside spatial frequency and luminance. The work by Mant
 iuk et al. (2020) extends this framework to include background chromaticit
 y effects and compared cone contrast and post-receptoral contrast encoding
 s. In the proposed stelaCSF model (Mantiuk et al.\, 2022)\, achromatic con
 trast sensitivity was modelled by synthesising 11 distinct datasets. This 
 work aimed for a robust and generalised model that could predict sensitivi
 ty across spatial and temporal frequencies\, luminance\, size and eccentri
 city. The latest iteration of our work\, the castleCSF model (Ashraf et al
 .\, 2024)\, combines the strengths of preceding studies and uses datasets 
 from 18 studies to predict sensitivity to spatial and temporal frequencies
 \, any arbitrary contrast modulation direction in the colour space\, mean 
 luminance and chromaticity of the background\, eccentricity\, and stimulus
  area with a mean error of 3.59 dB. One major feature of our model\, disti
 nguishing it from other current works\, is its use of the same set of para
 meters to explain data from 18 different studies\, demonstrating its robus
 tness and generalisability. This model offers insights into the mechanisms
  affecting contrast sensitivity for different stimulus parameters using an
  analytical modelling approach informed by known behaviour of physiologica
 l components governing contrast sensitivity.\n\nZoom link: https://cam-ac-
 uk.zoom.us/j/88955492403?pwd=WFFnTGxBaXBiSG1rSFNiWFZsV1JIQT09
LOCATION:SS03 - William Gates Building
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