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

Overview of attention for book
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 8: Towards a Methodology for Retrieving Suspects Using 3D Facial Descriptors
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3 Mendeley
Summary
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Chapter title
Towards a Methodology for Retrieving Suspects Using 3D Facial Descriptors
Chapter number 8
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_8
Book ISBNs
978-3-31-960653-8, 978-3-31-960654-5
Authors

Naoufel Werghi, Hassen Drira

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 3 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 3 100%

Demographic breakdown

Readers by professional status Count As %
Professor 1 33%
Unknown 2 67%
Readers by discipline Count As %
Business, Management and Accounting 1 33%
Unknown 2 67%

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