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Articulated Motion and Deformable Objects

Overview of attention for book
Cover of 'Articulated Motion and Deformable Objects'

Table of Contents

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    Book Overview
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    Chapter 1 Localized Verlet Integration Framework for Facial Models
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    Chapter 2 Robot-Aided Cloth Classification Using Depth Information and CNNs
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    Chapter 3 Head-Pose Estimation In-the-Wild Using a Random Forest
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    Chapter 4 Spatiotemporal Facial Super-Pixels for Pain Detection
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    Chapter 5 Type P63 Digitized Color Images Performs Better Identification than Other Stains for Ovarian Tissue Analysis
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    Chapter 6 Interactive Acquisition of Apparel for Garment Modeling
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    Chapter 7 Realistic Crowds via Motion Capture and Cell Marking
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    Chapter 8 Leveraging Orientation Knowledge to Enhance Human Pose Estimation Methods
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    Chapter 9 Erythrocytes Morphological Classification Through HMM for Sickle Cell Detection
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    Chapter 10 Providing Physical Appearance and Behaviour to Virtual Characters
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    Chapter 11 On Combining Edge Detection Methods for Improving BSIF Based Facial Recognition Performances
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    Chapter 12 Implementing Elements of Fear Invoking Anxiety Using a Game Platform
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    Chapter 13 Balance Clinical Measurement Using RGBD Devices
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    Chapter 14 Evaluation of K-SVD Method in Facial Expression Recognition Based on Sparse Representation Problems
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    Chapter 15 3D Object Recognition Based on Volumetric Representation Using Convolutional Neural Networks
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    Chapter 16 Characterization of Multiresolution Models for Real-Time Rendering in GPU-Limited Environments
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    Chapter 17 RGB-D Segmentation of Poultry Entrails
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    Chapter 18 Convolutional Neural Network Super Resolution for Face Recognition in Surveillance Monitoring
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    Chapter 19 3D Morphable Face Models and Their Applications
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    Chapter 20 CUDA Achievements and GPU Challenges Ahead
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Title
Articulated Motion and Deformable Objects
Published by
Springer International Publishing, January 2016
DOI 10.1007/978-3-319-41778-3
ISBNs
978-3-31-941777-6, 978-3-31-941778-3
Editors

Francisco José Perales, Josef Kittler

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 12 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 12 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 2 17%
Student > Bachelor 2 17%
Researcher 1 8%
Student > Master 1 8%
Unknown 6 50%
Readers by discipline Count As %
Engineering 3 25%
Computer Science 2 17%
Mathematics 1 8%
Unknown 6 50%