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DTSTAMP:20250110T023312Z
LOCATION:Hall B7 (1)\, B Block\, Level 7
DTSTART;TZID=Asia/Tokyo:20241203T171600
DTEND;TZID=Asia/Tokyo:20241203T172800
UID:siggraphasia_SIGGRAPH Asia 2024_sess111_papers_861@linklings.com
SUMMARY:AR-DAVID: Augmented Reality Display Artifact Video Dataset
DESCRIPTION:Technical Papers\n\nAlexandre Chapiro (Reality Labs, Meta); Do
 ngyeon Kim (University of Cambridge); Yuta Asano (Reality Labs, Meta); and
  Rafał K. Mantiuk (University of Cambridge)\n\nThe perception of visual co
 ntent in optical-see-through augmented reality (AR) devices is affected by
  the light coming from the environment. This additional light interacts wi
 th the content in a non-trivial manner because of the illusion of transpar
 ency, different focal depths, and motion parallax. \n\nTo investigate the 
 impact of environment light, we created the first video-quality dataset ta
 rgeted toward augmented reality (AR) displays. The goal was to capture the
  effect of AR display artifacts (such as blur, or color fringes) on video 
 quality in the presence of a background. Our dataset consists of 6 scenes,
  each affected by one of 6 distortions at two strength levels, seen agains
 t one of 3 background patterns shown at 2 luminance levels: 432 conditions
  in total. Our dataset shows that the environment light has a much smaller
  masking effect than expected. Further, we show that this effect cannot be
  explained by compositing of the AR-content with the background using opti
 cal blending simulations. As a consequence, we demonstrate that existing v
 ideo quality metrics do a poor job of predicting the perceived magnitude o
 f degradation in AR displays, prompting the need for further research.\n\n
 Registration Category: Full Access, Full Access Supporter\n\nLanguage Form
 at: English Language\n\nSession Chair: Yifan Peng (University of Hong Kong
 )
URL:https://asia.siggraph.org/2024/program/?id=papers_861&sess=sess111
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