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DTSTAMP:20260817T171515Z
LOCATION:Hall C\, C Block\, Level 4
DTSTART;TZID=Asia/Tokyo:20241203T090000
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UID:siggraphasia_SIGGRAPH Asia 2024_sess223_papers_297@linklings.com
SUMMARY:elaTCSF: A Temporal Contrast Sensitivity Function for Flicker Dete
 ction and Modeling Variable Refresh Rate Flicker
DESCRIPTION:Yancheng Cai (University of Cambridge), Ali Bozorgian (Norwegi
 an University of Science and Technology), Maliha Ashraf (University of Cam
 bridge), Robert Wanat (LG Electronics North America), and Rafal Mantiuk (U
 niversity of Cambridge)\n\nThe perception of flicker has been a prominent 
 concern in illumination and electronic display fields for over a century. 
 Traditional approaches often rely on Critical Flicker Frequency (CFF), pri
 marily suited for high-contrast (full-on, full-off) flicker. To tackle var
 ying contrast flicker, the International Committee for Display Metrology (
 ICDM) introduced a Temporal Contrast Sensitivity Function TCSF-IDMS within
  the Information Display Measurements Standard (IDMS). Nevertheless, this 
 standard overlooks crucial parameters: luminance, eccentricity, and area. 
 Existing models incorporating these parameters are inadequate for flicker 
 detection, especially at low spatial frequencies. To address these limitat
 ions, we extend the TCSF$_{IDMS}$ and combine it with a new spatial probab
 ility summation model to incorporate the effects of luminance, eccentricit
 y, and area (elaTCSF). We train the elaTCSF on various flicker detection d
 atasets and establish the first variable refresh rate flicker detection da
 taset for further verification. Additionally, we contribute to resolving a
  longstanding debate on whether the flicker is more visible in peripheral 
 vision. We demonstrate how elaTCSF can be used to predict flicker due to l
 ow-persistence in VR headsets,  identify flicker-free VRR operational rang
 es, and determine flicker sensitivity in lighting design.\n\nRegistration 
 Category: Enhanced Access, Full Access, Full Access Supporter\n\nLanguage 
 Format: English Language\n\n
URL:https://asia.siggraph.org/2024/program/?id=papers_297&sess=sess111
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