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Perspectives in Shape Analysis

Overview of attention for book
Cover of 'Perspectives in Shape Analysis'

Table of Contents

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    Book Overview
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    Chapter 1 Ornament Analysis with the Help of Screened Poisson Shape Fields
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    Chapter 2 A Comparison of Non-Lambertian Models for the Shape-from-Shading Problem
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    Chapter 3 Direct Variational Perspective Shape from Shading with Cartesian Depth Parametrisation
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    Chapter 4 Amoeba Techniques for Shape and Texture Analysis
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    Chapter 5 Increasing the Power of Shape Descriptor Based Object Analysis Techniques
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    Chapter 6 Shape Distances for Binary Image Segmentation
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    Chapter 7 Segmentation in Point Clouds from RGB-D Using Spectral Graph Reduction
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    Chapter 8 Shape Compaction
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    Chapter 9 Homological Shape Analysis Through Discrete Morse Theory
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    Chapter 10 Sparse Models for Intrinsic Shape Correspondence
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    Chapter 11 Applying Random Forests to the Problem of Dense Non-rigid Shape Correspondence
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    Chapter 12 Accelerating Deformable Part Models with Branch-and-Bound
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    Chapter 13 Non-rigid Shape Correspondence Using Surface Descriptors and Metric Structures in the Spectral Domain
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    Chapter 14 The Perspective Face Shape Ambiguity
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    Chapter 15 On Shape Recognition and Language
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    Chapter 16 Tongue Mesh Extraction from 3D MRI Data of the Human Vocal Tract
Attention for Chapter 4: Amoeba Techniques for Shape and Texture Analysis
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Citations

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Summary Dimensions citations
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Chapter title
Amoeba Techniques for Shape and Texture Analysis
Chapter number 4
Book title
Perspectives in Shape Analysis
Published in
arXiv, January 2016
DOI 10.1007/978-3-319-24726-7_4
Book ISBNs
978-3-31-924724-3, 978-3-31-924726-7
Authors

Martin Welk

Editors

Michael Breuß, Alfred Bruckstein, Petros Maragos, Stefanie Wuhrer

View on publisher site
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 4 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Luxembourg 1 25%
Unknown 3 75%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 1 25%
Researcher 1 25%
Other 1 25%
Student > Master 1 25%
Readers by discipline Count As %
Computer Science 1 25%
Agricultural and Biological Sciences 1 25%
Unknown 2 50%

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