Main   Geometric Level Set Methods in Imaging Vision and Graphics, Springer (2003), 
 

Springer Verlag
ISBN 0387954880
, 532 pages,
195 illustrations, 613 references
 

Editors
Level Sets
mathematical models in computer vision


Level set methods are emerging techniques for representing, deforming, and recovering structures in an arbitrary dimension across different fields (mathematics, fluid dynamics, graphics, imaging, vision, etc.). Advances in numerical analysis have led to computationally efficient tools for computing and analyzing interface motion within level set methods in a host of application settings. This authoritative edited survey provides readers with the state-of-the-art in applying level set methods in the imaging, vision, and graphics domains, presenting thematically grouped chapters contributed by leading experts from both industry and academia. The work bridges the theoretical foundations of level set methods with the latest significant applications. It will assist readers with both the technical aspects of the field as well as its practical ramifications for areas like medical imaging, computer animation, film restoration, video surveillance, visual inspection, and a range of scientific and engineering disciplines. The edited volume consists of a preface and 24 chapters organized in 9 thematic areas: Level Set Methods Versus Langrangian Techniques, Level Set Methods Edge Detection & Boundary Extraction, Level Set Methods Scale & Vector Image Reconstruction, Level Set Methods and Grouping, Level Set Methods Knowledge-based Segmentation & Registration, Level Set Methods and Motion Analysis,Level Set Methods Computational Stereo & Implicit Surfaces, Level Set Methods Medical Image Analysis and Computer Graphics & Simulations. This essential resource carefully integrates the theoretical foundations of level set methods with their actual performance capabilities. Its clarity of organization and approach makes the book accessible for researchers and professionals working in the areas of vision, graphics, image processing, robotics, mathematics, and computational geometry.






Last Update: December20th, 2004, you can mail your comments to:
Nikos Paragios nikos.paragios@computer.org