License: Creative Commons Attribution 3.0 Unported license (CC BY 3.0)
When quoting this document, please refer to the following
DOI: 10.4230/DagRep.9.3.16
URN: urn:nbn:de:0030-drops-112894
URL: http://dagstuhl.sunsite.rwth-aachen.de/volltexte/2019/11289/
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Egger, Bernhard ; Smith, William ; Theobalt, Christian ; Vetter, Thomas
Weitere Beteiligte (Hrsg. etc.): Bernhard Egger and William Smith and Christian Theobalt and Thomas Vetter

3D Morphable Models (Dagstuhl Seminar 19102)

pdf-format:
dagrep_v009_i003_p016_19102.pdf (4 MB)


Abstract

3D Morphable Models is a statistical object model separating shape from appearance variation. Typically, they are used as a statistical prior in computer graphics and vision. This report summarizes the Dagstuhl seminar on 3D Morphable Models, March 3-8, 2019.
It was a first specific meeting of a broader group of people working with 3D Morphable Models of faces and bodies. This meeting of 26 researchers was held 20 years after the seminal work was published at Siggraph. We summarize the discussions, presentations and results of this workshop.

BibTeX - Entry

@Article{egger_et_al:DR:2019:11289,
  author =	{Bernhard Egger and William Smith and Christian Theobalt and Thomas Vetter},
  title =	{{3D Morphable Models (Dagstuhl Seminar 19102)}},
  pages =	{16--38},
  journal =	{Dagstuhl Reports},
  ISSN =	{2192-5283},
  year =	{2019},
  volume =	{9},
  number =	{3},
  editor =	{Bernhard Egger and William Smith and Christian Theobalt and Thomas Vetter},
  publisher =	{Schloss Dagstuhl--Leibniz-Zentrum fuer Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{http://drops.dagstuhl.de/opus/volltexte/2019/11289},
  URN =		{urn:nbn:de:0030-drops-112894},
  doi =		{10.4230/DagRep.9.3.16},
  annote =	{Keywords: 3D Computer Vision, Analysis-by-Synthesis, Computer Graphics, Generative Models, Statistical Modelling}
}

Keywords: 3D Computer Vision, Analysis-by-Synthesis, Computer Graphics, Generative Models, Statistical Modelling
Collection: Dagstuhl Reports, Volume 9, Issue 3
Issue Date: 2019
Date of publication: 12.09.2019


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