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X-WR-RELCALID:efc09d74-9c93-479e-a94f-485231ddccde
X-WR-TIMEZONE:America/Vancouver
X-WR-CALNAME:Domes to Drones: Self-Supervised Active Triangulation for 3D H
 uman Pose Reconstruction - Cristian Sminchisescu\, Professor\, Lund Univer
 sity / Google Zurich
BEGIN:VTIMEZONE
TZID:America/Vancouver
TZUNTIL:20211107T090000Z
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TZNAME:PST
DTSTART:20191103T020000
TZOFFSETFROM:-0700
TZOFFSETTO:-0800
RDATE:20201101T020000
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RDATE:20210314T020000
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UID:af0bec14-73b5-4938-b703-13fd7a9ab4e9
DTSTAMP:20260526T013120Z
CLASS:PUBLIC
CREATED:20191127T232336Z
DESCRIPTION:Abstract: Existing state-of-the-art estimation systems can dete
 ct 2d poses of multiple people in images quite reliably. In contrast\, 3d 
 pose estimation from a single image is ill-posed due to occlusion and dept
 h ambiguities. Assuming access to multiple cameras\, or given an active sy
 stem able to position itself to observe the scene from multiple viewpoints
 \, reconstructing 3d pose from 2d measurements becomes well-posed within t
 he framework of standard multi-view geometry. Less clear is what is an inf
 ormative set of viewpoints for accurate 3d reconstruction\, particularly i
 n complex scenes\, where…
DTSTART;TZID=America/Vancouver:20191209T100000
DTEND;TZID=America/Vancouver:20191209T110000
LAST-MODIFIED:20210611T171034Z
LOCATION:ICCS - X836\, ICICS Computer Science\, 2366 Main Mall\, Vancouver\
 , BC
SUMMARY:Domes to Drones: Self-Supervised Active Triangulation for 3D Human 
 Pose Reconstruction - Cristian Sminchisescu\, Professor\, Lund University 
 / Google Zurich
TRANSP:OPAQUE
URL:https://caida.ubc.ca/event/domes-drones-self-supervised-active-triangul
 ation-3d-human-pose-reconstruction-cristian
END:VEVENT
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