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DTSTAMP:20250110T023313Z
LOCATION:Hall B5 (1)\, B Block\, Level 5
DTSTART;TZID=Asia/Tokyo:20241206T144500
DTEND;TZID=Asia/Tokyo:20241206T145900
UID:siggraphasia_SIGGRAPH Asia 2024_sess148_papers_384@linklings.com
SUMMARY:Evaluating Visual Perception of Object Motion in Dynamic Environme
 nts
DESCRIPTION:Technical Papers\n\nBudmonde Duinkharjav (New York University)
 ; Jenna Kang (Georgia Institute of Technology, New York University); Gavin
  Stuart Peter Miller and Chang Xiao (Adobe Research); and Qi Sun (New York
  University)\n\nPrecisely understanding how objects move in 3D is essentia
 l for broad scenarios such as video editing, gaming, driving, and athletic
 s. With screen-displayed computer graphics content, users only perceive li
 mited cues to judge the object motion from the on-screen optical flow. Con
 ventionally, visual perception is studied with stationary settings and sin
 gular objects. However, in practical applications, we---the observer---als
 o move within complex scenes. Therefore, we must extract object motion fro
 m a combined optical flow displayed on screen, which can often lead to mis
 -estimations due to perceptual ambiguities.\n\nWe measure and model observ
 ers' perceptual accuracy of object motions in dynamic 3D environments, a u
 niversal but under-investigated scenario in computer graphics applications
 . We design and employ a crowdsourcing-based psychophysical study, quantif
 ying the relationships among patterns of scene dynamics and content, and t
 he resulting perceptual judgments of object motion direction. The acquired
  psychophysical data underpins a model for generalized conditions. We then
  demonstrate the model's guidance ability to significantly enhance users' 
 understanding of task object motion in gaming and animation design. With a
 pplications in measuring and compensating for object motion errors in vide
 o and rendering, we hope the research establishes a new frontier for under
 standing and mitigating perceptual errors caused by the gap between screen
 -displayed graphics and the physical world.\n\nRegistration Category: Full
  Access, Full Access Supporter\n\nLanguage Format: English Language\n\nSes
 sion Chair: Peng Song (Singapore University of Technology and Design (SUTD
 ))
URL:https://asia.siggraph.org/2024/program/?id=papers_384&sess=sess148
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