BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//Memento EPFL//
BEGIN:VEVENT
SUMMARY:Active Reconstruction of Dynamic Scenes Using Drones
DTSTART:20180611T110000
DTEND:20180611T130000
DTSTAMP:20260407T131926Z
UID:d67f9a3cee30d0cd00fbbd445fd07f3cc729989dcebb9188d30b688c
CATEGORIES:Conferences - Seminars
DESCRIPTION:Sena Kiciroglu\nEDIC candidacy exam\nExam president: Prof. Ber
 trand Merminod\nThesis advisor: Prof. Pacal Fua\nCo-examiner: Dr. Ronan Bo
 ulic\n\nAbstract\nActive reconstruction of dynamic scenes has become an in
 teresting direction of research with the rising popularity of commercially
  available drones. The key idea is to actively reposition a drone during r
 ecording so that the performance of the task being performed is improved. 
 We focus in particular on the task of 3D human pose estimation. A possible
  example application could be a personal ski trainer\, where the drone fol
 lows a skier and uses its camera images to estimate their pose. According 
 to the pose estimation results\, the drone will reposition itself\, perfor
 ming active reconstruction. In this talk\, three papers will be discussed.
  The first paper focuses on 3D human pose estimation. The second paper is 
 about 3D human model reconstruction from video footage. The third paper is
  on active reconstruction of static scenes. We will see that using ideas f
 rom all three papers\, we can form a novel and exciting direction for new 
 research.\n\nBackground papers\nTracking People with Twists and Exponentia
 l Maps\, by C. Bregler and J. Malik \nVideo Based Reconstruction of 3D Pe
 ople Models\, by T. Alldieck\, et al.\nAn Information Gain Formulation For
  Active Volumetric 3D Reconstruction\, by S. Isler\, et al.\n 
LOCATION:BC 229 https://plan.epfl.ch/?room==BC%20229
STATUS:CONFIRMED
END:VEVENT
END:VCALENDAR