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Handbook of Mathematical Models in Computer Vision

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Cover of 'Handbook of Mathematical Models in Computer Vision'

Table of Contents

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    Book Overview
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    Chapter 1 Diffusion Filters and Wavelets: What Can They Learn from Each Other?
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    Chapter 2 Total Variation Image Restoration: Overview and Recent Developments
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    Chapter 3 Handbook of Mathematical Models in Computer Vision
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    Chapter 4 Levelings: Theory and Practice
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    Chapter 5 Graph Cuts in Vision and Graphics: Theories and Applications
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    Chapter 6 Minimal Paths and Fast Marching Methods for Image Analysis
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    Chapter 7 Integrating Shape and Texture in DeformabIe Models: from Hybrid Methods to Metamorphs
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    Chapter 8 Variational Segmentation with Shape Priors
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    Chapter 9 Curve Propagation, Level Set Methods and Grouping
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    Chapter 10 On a Stochastic Model of Geometric Snakes
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    Chapter 11 Invariant Processing and Occlusion Resistant Recognition of Planar Shapes
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    Chapter 12 Planar Shape Analysis and Its Applications in Image-Based Inferences
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    Chapter 13 Diffeomorphic Point Matching
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    Chapter 14 Uncertainty-Driven, Point-Based Image Registration
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    Chapter 15 Optical Flow Estimation
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    Chapter 16 From Bayes to PDEs in Image Warping
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    Chapter 17 Image Alignment and Stitching
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    Chapter 18 Visual Tracking: A Short Research Roadmap
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    Chapter 19 Shape Gradient for Image and Video Segmentation
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    Chapter 20 Model-Based Human Motion Capture
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    Chapter 21 Modeling Dynamic Scenes: An Overview of Dynamic Textures
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    Chapter 22 Differential Geometry from the Frenet Point of View: Boundary Detection, Stereo, Texture and Color
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    Chapter 23 Shape From Shading
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    Chapter 24 3D from Image Sequences: Calibration, Motion and Shape Recovery
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    Chapter 25 Multi-view Reconstruction of Static and Dynamic Scenes
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    Chapter 26 Graph Cut Algorithms for Binocular Stereo with Occlusions
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    Chapter 27 Modelling Non-Rigid Dynamic Scenes from Multi-View Image Sequences
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    Chapter 28 Interactive Graph-Based Segmentation Methods in Cardiovascular Imaging
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    Chapter 29 3D Active Shape and Appearance Models in Cardiac Image Analysis
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    Chapter 30 Characterization of Diffusion Anisotropy in DWI
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    Chapter 31 Segmentation of Diffusion Tensor Images
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    Chapter 32 Variational Approaches to the Estimation, Regularizatinn and Segmentation of Diffusion Tensor Images
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    Chapter 33 An Introduction to Statistical Methods of Medical Image Registration
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5 patents
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2 Wikipedia pages

Citations

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301 Mendeley
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Title
Handbook of Mathematical Models in Computer Vision
Published by
Springer, Boston, MA, January 2006
DOI 10.1007/0-387-28831-7
ISBNs
978-0-387-28831-4, 978-0-387-26371-7
Editors

Paragios, Nikos, Faugeras, Olivier, Chen, Yunmei

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 301 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 10 3%
Germany 2 <1%
Colombia 2 <1%
Spain 2 <1%
Canada 2 <1%
Netherlands 1 <1%
Indonesia 1 <1%
Ireland 1 <1%
Hong Kong 1 <1%
Other 12 4%
Unknown 267 89%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 91 30%
Researcher 52 17%
Student > Master 40 13%
Professor 15 5%
Professor > Associate Professor 14 5%
Other 49 16%
Unknown 40 13%
Readers by discipline Count As %
Computer Science 107 36%
Engineering 64 21%
Mathematics 18 6%
Agricultural and Biological Sciences 13 4%
Physics and Astronomy 8 3%
Other 42 14%
Unknown 49 16%