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DTSTAMP:20250110T023312Z
LOCATION:Hall B7 (1)\, B Block\, Level 7
DTSTART;TZID=Asia/Tokyo:20241203T165300
DTEND;TZID=Asia/Tokyo:20241203T170500
UID:siggraphasia_SIGGRAPH Asia 2024_sess111_papers_297@linklings.com
SUMMARY:elaTCSF: A Temporal Contrast Sensitivity Function for Flicker Dete
 ction and Modeling Variable Refresh Rate Flicker
DESCRIPTION:Technical Papers\n\nYancheng Cai (University of Cambridge), Al
 i Bozorgian (Norwegian University of Science and Technology), Maliha Ashra
 f (University of Cambridge), Robert Wanat (LG Electronics North America), 
 and Rafal Mantiuk (University of Cambridge)\n\nThe perception of flicker h
 as been a prominent concern in illumination and electronic display fields 
 for over a century. Traditional approaches often rely on Critical Flicker 
 Frequency (CFF), primarily suited for high-contrast (full-on, full-off) fl
 icker. To tackle varying contrast flicker, the International Committee for
  Display Metrology (ICDM) introduced a Temporal Contrast Sensitivity Funct
 ion TCSF-IDMS within the Information Display Measurements Standard (IDMS).
  Nevertheless, this standard overlooks crucial parameters: luminance, ecce
 ntricity, and area. Existing models incorporating these parameters are ina
 dequate for flicker detection, especially at low spatial frequencies. To a
 ddress these limitations, we extend the TCSF$_{IDMS}$ and combine it with 
 a new spatial probability summation model to incorporate the effects of lu
 minance, eccentricity, and area (elaTCSF). We train the elaTCSF on various
  flicker detection datasets and establish the first variable refresh rate 
 flicker detection dataset for further verification. Additionally, we contr
 ibute to resolving a longstanding debate on whether the flicker is more vi
 sible in peripheral vision. We demonstrate how elaTCSF can be used to pred
 ict flicker due to low-persistence in VR headsets,  identify flicker-free 
 VRR operational ranges, and determine flicker sensitivity in lighting desi
 gn.\n\nRegistration Category: Full Access, Full Access Supporter\n\nLangua
 ge Format: English Language\n\nSession Chair: Yifan Peng (University of Ho
 ng Kong)
URL:https://asia.siggraph.org/2024/program/?id=papers_297&sess=sess111
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