BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//Talks.cam//talks.cam.ac.uk//
X-WR-CALNAME:Talks.cam
BEGIN:VEVENT
SUMMARY:Compression for Smooth Shape Analysis - Virginia Estellers (Techni
 cal University of Munich)
DTSTART:20180212T160000Z
DTEND:20180212T170000Z
UID:TALK100060@talks.cam.ac.uk
CONTACT:Carola-Bibiane Schoenlieb
DESCRIPTION:Most 3D shape analysis methods use triangular meshes to discre
 tize both the shape and functions on it as piecewise linear functions. Wit
 h this representation\, shape analy- sis requires fine meshes to represent
  smooth shapes and geometric operators like normals\, curvatures\, or Lapl
 ace- Beltrami eigenfunctions at large computational and mem- ory costs.\n\
 nWe avoid this bottleneck with a compression technique that represents a s
 mooth shape as subdivision surfaces and exploits the subdivision scheme to
  parametrize smooth functions on that shape with a few control parameters.
  This compression does not affect the accuracy of the Laplace- Beltrami op
 erator and its eigenfunctions and allow us to compute shape descriptors an
 d shape matchings at an ac- curacy comparable to triangular meshes but a f
 raction of the computational cost.\n\nOur framework can also compress surf
 aces represented by point clouds to do shape analysis of 3D scanning data.
 \n\nThis is joint work with Frank Schmidt and Daniel Cremers.
LOCATION:MR 14
END:VEVENT
END:VCALENDAR