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Representations, Analysis and Recognition of Shape and Motion from Imaging Data

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Cover of 'Representations, Analysis and Recognition of Shape and Motion from Imaging Data'

Table of Contents

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    Book Overview
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    Chapter 1 Local Feature-Based 3D Canonical Form
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    Chapter 2 Accurate 3D Shape Correspondence by a Local Description Darcyan Principal Curvature Fields
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    Chapter 3 A Novel Robust Statistical Watermarking of 3D Meshes
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    Chapter 4 Shape Analysis Based Anti-spoofing 3D Face Recognition with Mask Attacks
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    Chapter 5 Early Features Fusion over 3D Face for Face Recognition
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    Chapter 6 Enhancing 3D Face Recognition by a Robust Version of ICP Based on the Three Polar Representation
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    Chapter 7 3D Nasal Shape: A New Basis for Soft-Biometrics Recognition
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    Chapter 8 Towards a Methodology for Retrieving Suspects Using 3D Facial Descriptors
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    Chapter 9 Key Frame Selection for Multi-shot Person Re-identification
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    Chapter 10 An Exact Smoother in a Fuzzy Jump Markov Switching Model
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    Chapter 11 A Novel 2D Contour Description Generalized Curvature Scale Space
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    Chapter 12 A Coronary Artery Segmentation Method Based on Graph Cuts and MultiScale Analysis
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    Chapter 13 Gaussian Bayes Classifier for 2D Shapes in Kendall Space
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    Chapter 14 Multimodal Image Fusion Based on Non-subsampled Shearlet Transform and Neuro-Fuzzy
Attention for Chapter 2: Accurate 3D Shape Correspondence by a Local Description Darcyan Principal Curvature Fields
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Chapter title
Accurate 3D Shape Correspondence by a Local Description Darcyan Principal Curvature Fields
Chapter number 2
Book title
Representations, Analysis and Recognition of Shape and Motion from Imaging Data
Published by
Springer, Cham, October 2016
DOI 10.1007/978-3-319-60654-5_2
Book ISBNs
978-3-31-960653-8, 978-3-31-960654-5
Authors

Ilhem Sboui, Majdi Jribi, Faouzi Ghorbel

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