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X-LIC-LOCATION:America/Denver
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TZOFFSETFROM:-0700
TZOFFSETTO:-0600
TZNAME:MDT
DTSTART:19700308T020000
RRULE:FREQ=YEARLY;BYMONTH=3;BYDAY=2SU
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DTSTART:19701101T020000
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BEGIN:VEVENT
DTSTAMP:20250522T212943Z
LOCATION:Mile High 4
DTSTART;TZID=America/Denver:20240731T090000
DTEND;TZID=America/Denver:20240731T091000
UID:siggraph_SIGGRAPH 2024_sess126_papers_1253@linklings.com
SUMMARY:Towards Unstructured Unlabeled Optical Mocap: A Video Helps!
DESCRIPTION:Nicholas Milef and John Keyser (Texas A&M University) and Shu 
 Kong (Texas A&M University, University of Macau)\n\nWe introduce the probl
 em Unstructured Unlabeled Optical (UUO) mocap, where unlabeled optical moc
 ap markers can be placed anywhere on the body. Using monocular video, we i
 ntroduce a multi-stage optimization framework that leverages multiple hypo
 thesis testing to automatically solve for human pose and shape for both fu
 ll-body and partial-body reconstruction.\n\nInterest Area: Research & Educ
 ation\n\nRecording: Livestreamed, Recorded\n\nKeyword: Animation, Modeling
 \n\nRegistration Category: Full Conference, Full Conference Supporter, Vir
 tual Access, Exhibitor Full Conference, Wednesday\n\n
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