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DTSTAMP:20260817T171530Z
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:Budmonde Duinkharjav (New York University); Jenna Kang (Georgi
 a Institute of Technology, New York University); Gavin Stuart Peter Miller
  and Chang Xiao (Adobe Research); and Qi Sun (New York University)\n\nPrec
 isely understanding how objects move in 3D is essential for broad scenario
 s such as video editing, gaming, driving, and athletics. With screen-displ
 ayed computer graphics content, users only perceive limited cues to judge 
 the object motion from the on-screen optical flow. Conventionally, visual 
 perception is studied with stationary settings and singular objects. Howev
 er, in practical applications, we---the observer---also move within comple
 x scenes. Therefore, we must extract object motion from a combined optical
  flow displayed on screen, which can often lead to mis-estimations due to 
 perceptual ambiguities.\n\nWe measure and model observers' perceptual accu
 racy of object motions in dynamic 3D environments, a universal but under-i
 nvestigated scenario in computer graphics applications. We design and empl
 oy a crowdsourcing-based psychophysical study, quantifying the relationshi
 ps among patterns of scene dynamics and content, and the resulting percept
 ual judgments of object motion direction. The acquired psychophysical data
  underpins a model for generalized conditions. We then demonstrate the mod
 el's guidance ability to significantly enhance users' understanding of tas
 k object motion in gaming and animation design. With applications in measu
 ring and compensating for object motion errors in video and rendering, we 
 hope the research establishes a new frontier for understanding and mitigat
 ing 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\nSession Chair: Peng Son
 g (Singapore University of Technology and Design (SUTD))\n\n
URL:https://asia.siggraph.org/2024/program/?id=papers_384&sess=sess148
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