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Geometric Level Set Methods in Imaging, Vision, and Graphics als Buch
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Geometric Level Set Methods in Imaging, Vision, and Graphics

Auflage 2003. Sprache: Englisch.
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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 ... weiterlesen
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Geometric Level Set Methods in Imaging, Vision, and Graphics als Buch
Produktdetails
Titel: Geometric Level Set Methods in Imaging, Vision, and Graphics

ISBN: 0387954880
EAN: 9780387954882
Auflage 2003.
Sprache: Englisch.
Herausgegeben von Stanley Osher, Nikos Paragios
SPRINGER VERLAG GMBH

17. Juli 2003 - gebunden - 513 Seiten

Beschreibung

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.

Inhaltsverzeichnis

* 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 brain reconstruction * Editing geometric models * Simulating natural phenomena
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