Kids Library Home

Welcome to the Kids' Library!

Search for books, movies, music, magazines, and more.

Available items only

Title Handbook of mathematical models in computer vision / edited by Nikos Pargios, Yunmei Chen, Olivier Faugeras.

Imprint New York : Springer, 2006.


Location Call No. OPAC Message Status
 Axe Books 24x7 IT E-Book  Electronic Book    ---  Available
Description 1 online resource (xxxiii, 605 pages) : illustrations
text txt rdacontent
computer c rdamedia
online resource cr rdacarrier
Bibliography Includes bibliographical references and index.
Note Print version record.
Contents Image Reconstruction -- Diffusion Filters and Wavelets: What Can They Learn from Each Other? -- Total Variation Image Restoration: Overview and Recent Developments -- PDE-Based Image and Surface Inpainting -- Boundary Exraction, Segmentation and Grouping -- Levelings: Theory and Practice -- Graph Cuts in Vision and Graphics: Theories and Applications -- Minimal Paths and Fast Marching Methods for Image Analysis -- Integrating Shape and Texture in DeformabIe Models: from Hybrid Methods to Metamorphs -- Variational Segmentation with Shape Priors -- Curve Propagation, Level Set Methods and Grouping -- On a Stochastic Model of Geometric Snakes -- Shape Modeling & Registration -- Invariant Processing and Occlusion Resistant Recognition of Planar Shapes -- Planar Shape Analysis and Its Applications in Image-Based Inferences -- Diffeomorphic Point Matching -- Uncertainty-Driven, Point-Based Image Registration -- Motion Analysis, Optical Flow & Tracking -- Optical Flow Estimation -- From Bayes to PDEs in Image Warping -- Image Alignment and Stitching -- Visual Tracking: A Short Research Roadmap -- Shape Gradient for Image and Video Segmentation -- Model-Based Human Motion Capture -- Modeling Dynamic Scenes: An Overview of Dynamic Textures -- 3D from Images, Projective Geometry & Stereo Reconstruction -- Differential Geometry from the Frenet Point of View: Boundary Detection, Stereo, Texture and Color -- Shape From Shading -- 3D from Image Sequences: Calibration, Motion and Shape Recovery -- Multi-view Reconstruction of Static and Dynamic Scenes -- Graph Cut Algorithms for Binocular Stereo with Occlusions -- Modelling Non-Rigid Dynamic Scenes from Multi-View Image Sequences -- Applications: Medical Image Analysis -- Interactive Graph-Based Segmentation Methods in Cardiovascular Imaging -- 3D Active Shape and Appearance Models in Cardiac Image Analysis -- Characterization of Diffusion Anisotropy in DWI -- Segmentation of Diffusion Tensor Images -- Variational Approaches to the Estimation, Regularizatinn and Segmentation of Diffusion Tensor Images -- An Introduction to Statistical Methods of Medical Image Registration.
Summary Visual perception refers to the ability of understanding the visual information that is provided by the environment. Such a mechanism integrates several human abilities and was studied by many researchers with different scientific origins including philosophy, physiology, biology, neurobiology, mathematics and engineering. In particular in the recent years an effort to understand, formalize and finally reproduce mechanical visual perception systems able to see and understand the environment using computational theories was made by mathematicians, statisticians and engineers. Such a task connects visual tasks with optimization processes and the answer to the visual perception task corresponds to the lowest potential of a task-driven objective function. In this edited volume we present the most prominent mathematical models that are considered in computational vision. To this end, tasks of increasing complexity are considered and we present the state-of-the-art methods to cope with such tasks. The volume consists of six thematic areas that provide answers to the most dominant questions of computational vision: Image reconstruction, Segmentation and object extraction, Shape modeling and registration, Motion analysis and tracking, 3D from images, geometry and reconstruction Applications in medical image analysis.
Subject Computer vision -- Mathematical models -- Handbooks, manuals, etc.
Vision par ordinateur -- Modèles mathématiques -- Guides, manuels, etc.
COMPUTERS -- Computer Vision & Pattern Recognition.
Computer vision -- Mathematical models.
Computer vision -- Mathematical models. (OCoLC)fst00872693
Visão computacional.
Modelos matemáticos.
Genre/Form Electronic books.
Handbooks and manuals. (OCoLC)fst01423877
Added Author Paragios, Nikos.
Chen, Yunmei.
Faugeras, Olivier, 1949-
In: Springer e-books
Other Form: Print version: Handbook of mathematical models in computer vision. New York : Springer, 2006 0387263713 (DLC) 2005051679 (OCoLC)61253967
ISBN 0387263713 (alk. paper)
9780387263717 (alk. paper)
0387288317 (e-book)
9780387288314 (e-book)
Standard No. 9780387288314
AU@ 000042134576
AU@ 000042692837
AU@ 000044866971
AU@ 000048754834
DEBSZ 430417071
HEBIS 182011070
NLGGC 384199933
NZ1 12050657

Available items only