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When quoting this document, please refer to the following
DOI: 10.4230/DagRep.1.11.66
URN: urn:nbn:de:0030-drops-33789
URL: http://dagstuhl.sunsite.rwth-aachen.de/volltexte/2012/3378/
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Bruhn, Andrés ; Pock, Thomas ; Tai, Xue-Cheng
Weitere Beteiligte (Hrsg. etc.): Andrés Bruhn and Thomas Pock and Xue-Cheng Tai

Efficient Algorithms for Global Optimisation Methods in Computer Vision (Dagstuhl Seminar 11471)

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dagrep_v001_i011_p066_s11471.pdf (0.7 MB)

Abstract

This report documents the program and the results of Dagstuhl Seminar 11471
Efficient Algorithms for Global Optimisation Methods in Computer Vision,
taking place November 20-25 in 2011. The focus of the seminar was to discuss
the design of efficient computer vision algorithms based on global optimisation
methods in the context of the entire design pipeline. Since there is no
such conference that deals with all aspects of the design process -- modelling,
mathematical analysis, numerical solvers, and parallelisation -- the seminar aimed at bringing together researchers from computer science and mathematics covering all four fields.

BibTeX - Entry

@Article{bruhn_et_al:DR:2012:3378,
  author =	{Andr{\'e}s Bruhn and Thomas Pock and Xue-Cheng Tai},
  title =	{{Efficient Algorithms for Global Optimisation Methods in Computer Vision (Dagstuhl Seminar 11471)}},
  pages =	{66--90},
  journal =	{Dagstuhl Reports},
  ISSN =	{2192-5283},
  year =	{2012},
  volume =	{1},
  number =	{11},
  editor =	{Andr{\'e}s Bruhn and Thomas Pock and Xue-Cheng Tai},
  publisher =	{Schloss Dagstuhl--Leibniz-Zentrum fuer Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{http://drops.dagstuhl.de/opus/volltexte/2012/3378},
  URN =		{urn:nbn:de:0030-drops-33789},
  doi =		{10.4230/DagRep.1.11.66},
  annote =	{Keywords: Computer Vision, Modelling, Mathematical Foundations, Data Structures, Efficient Algorithms, Parallel Computing}
}

Keywords: Computer Vision, Modelling, Mathematical Foundations, Data Structures, Efficient Algorithms, Parallel Computing
Collection: Dagstuhl Reports, Volume 1, Issue 11
Issue Date: 2012
Date of publication: 23.02.2012

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