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SUMMARY:[SIGGRAPH Asia 2025] CameraVDP: Perceptual Display Assessment with
  Uncertainty Estimation via Camera and Visual Difference Prediction (Yanch
 eng) - Yancheng Cai (University of Cambridge)
DTSTART:20251210T153000Z
DTEND:20251210T160000Z
UID:TALK241870@talks.cam.ac.uk
CONTACT:Yancheng Cai
DESCRIPTION:Accurate measurement of images produced by electronic displays
  is critical for the evaluation of both traditional and computational disp
 lays. Traditional display measurement methods based on sparse radiometric 
 sampling and fitting a model are inadequate for capturing spatially varyin
 g display artifacts\, as they fail to capture high-frequency and pixel-lev
 el distortions. While cameras offer sufficient spatial resolution\, they i
 ntroduce optical\, sampling\, and photometric distortions. Furthermore\, t
 he physical measurement must be combined with a model of a visual system t
 o assess whether the distortions are going to be visible. To enable percep
 tual assessment of displays\, we propose a combination of a camera-based r
 econstruction pipeline with a visual difference predictor\, which account 
 for both the inaccuracy of camera measurements and visual difference predi
 ction. The reconstruction pipeline combines HDR image stacking\, MTF inver
 sion\, vignetting correction\, geometric undistortion\, homography transfo
 rmation\, and color correction\, enabling cameras to function as precise d
 isplay measurement instruments. By incorporating a Visual Difference Predi
 ctor (VDP)\, our system models the visibility of various stimuli under dif
 ferent viewing conditions for the human visual system. We validate the pro
 posed CameraVDP framework through three applications: defective pixel dete
 ction\, color fringing awareness\, and display non-uniformity evaluation. 
 Our uncertainty analysis framework enables the estimation of the theoretic
 al upper bound for defect pixel detection performance and provides confide
 nce intervals for VDP quality scores.
LOCATION:GS15\, William Gates Building. Zoom: https://cam-ac-uk.zoom.us/j/
 83825823889?pwd=g1Xm2GJrkpadvhgVJY25uHGlbJFl21.1&amp\;jst=2
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