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Handbook of Mathematical Models in Computer Vision (Record no. 499859)

000 -LEADER
fixed length control field 05187nam a22005055i 4500
001 - CONTROL NUMBER
control field 978-0-387-28831-4
003 - CONTROL NUMBER IDENTIFIER
control field DE-He213
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20161121230517.0
007 - PHYSICAL DESCRIPTION FIXED FIELD--GENERAL INFORMATION
fixed length control field cr nn 008mamaa
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 100301s2006 xxu| s |||| 0|eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9780387288314
-- 978-0-387-28831-4
024 7# - OTHER STANDARD IDENTIFIER
Standard number or code 10.1007/0-387-28831-7
Source of number or code doi
050 #4 - LIBRARY OF CONGRESS CALL NUMBER
Classification number QA76.9.C65
072 #7 - SUBJECT CATEGORY CODE
Subject category code UGK
Source bicssc
072 #7 - SUBJECT CATEGORY CODE
Subject category code COM072000
Source bisacsh
082 04 - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 003.3
Edition number 23
245 10 - TITLE STATEMENT
Title Handbook of Mathematical Models in Computer Vision
Medium [electronic resource] /
Statement of responsibility, etc. edited by Nikos Paragios, Yunmei Chen, Olivier Faugeras.
264 #1 - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE
Place of production, publication, distribution, manufacture Boston, MA :
Name of producer, publisher, distributor, manufacturer Springer US,
Date of production, publication, distribution, manufacture, or copyright notice 2006.
300 ## - PHYSICAL DESCRIPTION
Extent XXXIV, 606 p.
Other physical details online resource.
336 ## - CONTENT TYPE
Content type term text
Content type code txt
Source rdacontent
337 ## - MEDIA TYPE
Media type term computer
Media type code c
Source rdamedia
338 ## - CARRIER TYPE
Carrier type term online resource
Carrier type code cr
Source rdacarrier
347 ## - DIGITAL FILE CHARACTERISTICS
File type text file
Encoding format PDF
Source rda
505 0# - FORMATTED CONTENTS NOTE
Formatted contents note 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.
520 ## - SUMMARY, ETC.
Summary, etc. 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.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Computer science.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Computer science
General subdivision Mathematics.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Computer simulation.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Computer graphics.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Mathematical models.
650 14 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Computer Science.
650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Simulation and Modeling.
650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Mathematical Modeling and Industrial Mathematics.
650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Computer Imaging, Vision, Pattern Recognition and Graphics.
650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Math Applications in Computer Science.
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Paragios, Nikos.
Relator term editor.
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Chen, Yunmei.
Relator term editor.
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Faugeras, Olivier.
Relator term editor.
710 2# - ADDED ENTRY--CORPORATE NAME
Corporate name or jurisdiction name as entry element SpringerLink (Online service)
773 0# - HOST ITEM ENTRY
Title Springer eBooks
776 08 - ADDITIONAL PHYSICAL FORM ENTRY
Relationship information Printed edition:
International Standard Book Number 9780387263717
856 40 - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier http://dx.doi.org/10.1007/0-387-28831-7
912 ## -
-- ZDB-2-SCS
Holdings
Withdrawn status Lost status Damaged status Not for loan Permanent Location Current Location Date acquired Barcode Date last seen Price effective from Koha item type
        PK Kelkar Library, IIT Kanpur PK Kelkar Library, IIT Kanpur 2016-11-21 EBK146 2016-11-21 2016-11-21 E books

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