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PRODID:Linklings LLC
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TZID:Asia/Tokyo
X-LIC-LOCATION:Asia/Tokyo
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TZOFFSETFROM:+0900
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TZNAME:JST
DTSTART:18871231T000000
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BEGIN:VEVENT
DTSTAMP:20260817T171531Z
LOCATION:G409\, G Block\, Level 4
DTSTART;TZID=Asia/Tokyo:20241206T140000
DTEND;TZID=Asia/Tokyo:20241206T160000
UID:siggraphasia_SIGGRAPH Asia 2024_sess320_ET105@linklings.com
SUMMARY:[IMAGICA GROUP] Real-time sensor analysis with Machine Learning , 
 AI and Computer Vision
DESCRIPTION:Suki Samra and Mehar Samra (Photron USA Inc.); Jun Kubota (IMA
 GICA GROUP Inc., Photron Ltd.); Ippei Otake (Nara Institute of Science and
  Technology (NAIST)); and Akinobu Maejima (OLM Digital, Inc.; IMAGICA GROU
 P Inc.)\n\nPresentation 1:\nPresentation Title: Infiniworkflow: AI Vision 
 Powered Imaging Platform\nPresentation Description:\nIntroduction and live
  demo of Infiniworkflow showing rapid prototyping of workflows for buildin
 g machine learning model, performing real-time inference and combining wit
 h image processing and computer vision algorithms - all with no coding and
  done with high performance GPU/Cloud backend.\n\nPresentation 2:\nPresent
 ation Title: Low latency pose estimation with event camera for interactive
  VFX\nPresentation Description:\nWhen human pose estimation using a frame-
 based camera is performed in an online process during actual human motion,
  the latency of the estimation process causes a decrease in pose accuracy 
 with real-time pose and estimation's runtime and camera framerate limit th
 e time resolution of pose output. We will introduce pose updating using an
  event-based camera that can solve this latency and frame rate problem in 
 the same workflow. This method computes differences sequentially as needed
  by computing sequential update vectors adapted to the motion magnitude, a
 nd achieves framerate improvement by immediate update of the estimated pos
 e using the computed differences, and latency compensation by multi-step i
 mmediate update. We will also introduce our experiment in a real live scen
 e. Our method was performed in a real live scene with dancers, and it show
 s that real-time display of visual effect is possible. Also showed that th
 e proposed method compensates latency and improves framerate via pose eval
 uation.\n\nRegistration Category: Enhanced Access, Exhibit & Experience Ac
 cess, Experience Hall Exhibitor, Full Access, Full Access Supporter, Trade
  Exhibitor\n\nLanguage Format: English Language, AI Translation Multi-Lang
 uage\n\n
URL:https://asia.siggraph.org/2024/program/?id=ET105&sess=sess320
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