MARC details
| 000 -LEADER |
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05081nam a22004935i 4500 |
| 001 - CONTROL NUMBER |
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| control field |
978-0-387-28831-4 |
| 003 - CONTROL NUMBER IDENTIFIER |
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| control field |
DE-He213 |
| 005 - DATE AND TIME OF LATEST TRANSACTION |
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| control field |
20170628033256.0 |
| 007 - PHYSICAL DESCRIPTION FIXED FIELD--GENERAL INFORMATION |
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cr nn 008mamaa |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
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100301s2006 xxu| s |||| 0|eng d |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
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| International Standard Book Number |
9780387288314 |
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978-0-387-28831-4 |
| 024 7# - OTHER STANDARD IDENTIFIER |
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| Standard number or code |
10.1007/0-387-28831-7 |
| Source of number or code |
doi |
| 050 #4 - LIBRARY OF CONGRESS CALL NUMBER |
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| Classification number |
T385 |
| 050 #4 - LIBRARY OF CONGRESS CALL NUMBER |
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| Classification number |
TA1637-1638 |
| 050 #4 - LIBRARY OF CONGRESS CALL NUMBER |
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| Classification number |
TK7882.P3 |
| 072 #7 - SUBJECT CATEGORY CODE |
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| Subject category code |
UYQV |
| Source |
bicssc |
| 072 #7 - SUBJECT CATEGORY CODE |
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| Subject category code |
COM016000 |
| Source |
bisacsh |
| 082 04 - DEWEY DECIMAL CLASSIFICATION NUMBER |
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| Classification number |
006.6 |
| Edition number |
23 |
| 100 1# - MAIN ENTRY--PERSONAL NAME |
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| Personal name |
Paragios, Nikos. |
| Relator term |
editor. |
| 245 10 - TITLE STATEMENT |
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| 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 - |
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| -- |
Boston, MA : |
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Springer US, |
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2006. |
| 300 ## - PHYSICAL DESCRIPTION |
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| Extent |
XXXIV, 606 p. |
| Other physical details |
online resource. |
| 336 ## - |
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text |
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txt |
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rdacontent |
| 337 ## - |
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computer |
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c |
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rdamedia |
| 338 ## - |
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online resource |
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cr |
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rdacarrier |
| 347 ## - |
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text file |
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PDF |
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rda |
| 505 0# - FORMATTED CONTENTS NOTE |
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| 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. |
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| 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 |
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| Topical term or geographic name as entry element |
Computer science. |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
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| Topical term or geographic name as entry element |
Computer simulation. |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
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| Topical term or geographic name as entry element |
Computer vision. |
| 650 14 - SUBJECT ADDED ENTRY--TOPICAL TERM |
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| Topical term or geographic name as entry element |
Computer Science. |
| 650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM |
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| Topical term or geographic name as entry element |
Computer Imaging, Vision, Pattern Recognition and Graphics. |
| 650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM |
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| Topical term or geographic name as entry element |
Simulation and Modeling. |
| 650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM |
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| Topical term or geographic name as entry element |
Math Applications in Computer Science. |
| 700 1# - ADDED ENTRY--PERSONAL NAME |
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| Personal name |
Chen, Yunmei. |
| Relator term |
editor. |
| 700 1# - ADDED ENTRY--PERSONAL NAME |
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| Personal name |
Faugeras, Olivier. |
| Relator term |
editor. |
| 710 2# - ADDED ENTRY--CORPORATE NAME |
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| Corporate name or jurisdiction name as entry element |
SpringerLink (Online service) |
| 773 0# - HOST ITEM ENTRY |
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| Title |
Springer eBooks |
| 776 08 - ADDITIONAL PHYSICAL FORM ENTRY |
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| Display text |
Printed edition: |
| International Standard Book Number |
9780387263717 |
| 856 40 - ELECTRONIC LOCATION AND ACCESS |
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| Uniform Resource Identifier |
<a href="http://dx.doi.org/10.1007/0-387-28831-7">http://dx.doi.org/10.1007/0-387-28831-7</a> |
| 912 ## - |
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ZDB-2-SCS |
