Variational, Geometric, and Level Set Methods in Computer Vision - Third International Workshop, VLSM 2005, Proceedings

Nikos Paragios, Olivier D. Faugeras, Tony Chan, Christoph Schnörr

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

2 Scopus citations

Abstract

The proceedings contain 30 papers. The topics discussed include: a study of non-smooth convex flow decomposition; nonlinear inverse scale space methods for image restoration; towards PDE-based image compression; color image deblurring with impulsive noise; using an oriented PDE to repair image textures; from inpainting to active contours; entropy controlled Gauss-Markov random measure field models for early vision; global minimization of the active contour model with TV-inpainting and two-phase denoising; trimap segmentation for fast and user-friendly alpha matting; a variational approach for object contour tracking; a gradient descent procedure for variational dynamic surface problems with constraints; regularization of mappings between implicit manifolds of arbitrary dimension and codimension; and lens distortion calibration using level sets.

Original languageEnglish (US)
Title of host publicationVariational, Geometric, and Level Set Methods in Computer Vision - Third International Workshop, VLSM 2005, Proceedings
PublisherSpringer Gabler
Volume3752
ISBN (Print)3540293485, 9783540293484
StatePublished - Dec 1 2005
Externally publishedYes
Event3rd International Workshop on Variational, Geometric, and Level Set Methods in Computer Vision, VLSM 2005 - Beijing, China
Duration: Oct 16 2005Oct 16 2005

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume3752 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference3rd International Workshop on Variational, Geometric, and Level Set Methods in Computer Vision, VLSM 2005
CountryChina
CityBeijing
Period10/16/0510/16/05

ASJC Scopus subject areas

  • Biochemistry, Genetics and Molecular Biology(all)
  • Computer Science(all)
  • Theoretical Computer Science

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