Geometric Level Set Methods in Imaging, Vision, and Graphics
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  • Broschiertes Buch

Here is, for the first time, a book that clearly explains and applies new level set methods to problems and applications in computer vision, graphics, and imaging. It is an essential compilation of survey chapters from the leading researchers in the field. The applications of the methods are emphasized.…mehr

Produktbeschreibung
Here is, for the first time, a book that clearly explains and applies new level set methods to problems and applications in computer vision, graphics, and imaging. It is an essential compilation of survey chapters from the leading researchers in the field. The applications of the methods are emphasized.

  • Produktdetails
  • Verlag: Springer / Springer, Berlin
  • Artikelnr. des Verlages: 978-1-4419-3023-1
  • Repr. d. Ausg. v. 2003
  • Seitenzahl: 548
  • Erscheinungstermin: 14. Dezember 2011
  • Englisch
  • Abmessung: 235mm x 155mm x 29mm
  • Gewicht: 814g
  • ISBN-13: 9781441930231
  • ISBN-10: 144193023X
  • Artikelnr.: 32187879
Autorenporträt
First book to clearly explain and apply new level set methods to problems and applications in computer vision, graphics, and imaging. An essential compilation of survey chapters from the leading researchers in the field, emphasizing the applications of the methods.
Inhaltsangabe
Level set methods Deformable models Fast methods for implicit active contour models Fast edge integration Variational snake theory Multiplicative denoising and deblurring Total varation minimization for scalar/vector regularization Morphological global reconstruction and levelings Fast marching techniques for visual grouping and segmentation Multiphase object detection and image segmentation Adaptive segmentation of vector-valued images Mumford-Shah for segmentation and stereo Shape analysis toward model-based segmentation Joint image registration and segmentation Image alignment Variational principles in optical flow estimation and tracking Region matching and tracking under deformations or occlusions Computational stereo Visualization, analysis and shape reconstruction of sparse data Variational problems and partial differential equations on implicit surfaces Knowledge-based segmentation of medical images Topology preserving geometric deformable models for