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Articulated Motion and Deformable Objects

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Cover of 'Articulated Motion and Deformable Objects'

Table of Contents

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    Book Overview
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    Chapter 1 Video Segmentation of Life-Logging Videos
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    Chapter 2 Human Pose Estimation in Stereo Images
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    Chapter 3 Holistic Human Pose Estimation with Regression Forests
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    Chapter 4 Mood and Its Mapping onto Facial Expressions
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    Chapter 5 Multimodal Interface Towards Smartphones: The Use of Pico Projector, Passive RGB Imaging and Active Infrared Imaging
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    Chapter 6 Using Webcam to Enhance Fingerprint Recognition
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    Chapter 7 Supporting Annotation of Anatomical Landmarks Using Automatic Scale Selection
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    Chapter 8 Human Hand Motion Recognition Using an Extended Particle Filter
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    Chapter 9 A Graph Based Segmentation Strategy for Baggage Scanner Images
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    Chapter 10 Articulated Motion and Deformable Objects
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    Chapter 11 From a Serious Training Simulator for Ship Maneuvering to an Entertainment Simulator
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    Chapter 12 3D Human Motion Analysis for Reconstruction and Recognition
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    Chapter 13 Interactive Multimodal Platform for Digital Signage
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    Chapter 14 Label Consistent Multiclass Discriminative Dictionary Learning for MRI Segmentation
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    Chapter 15 Real-Time Hand-Painted Graphics for Mobile Games
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    Chapter 16 Non-rigid Object Segmentation Using Robust Active Shape Models
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    Chapter 17 Rigging and Data Capture for the Facial Animation of Virtual Actors
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    Chapter 18 Geometric Surface Deformation Based on Trajectories: A New Approach
Overall attention for this book and its chapters
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3 patents

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3 Mendeley
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Title
Articulated Motion and Deformable Objects
Published by
Springer International Publishing, June 2014
DOI 10.1007/978-3-319-08849-5
ISBNs
978-3-31-908848-8, 978-3-31-908849-5
Editors

Perales, Francisco José, Santos-Victor, José

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 %
Student > Doctoral Student 1 33%
Student > Master 1 33%
Researcher 1 33%
Readers by discipline Count As %
Computer Science 2 67%
Medicine and Dentistry 1 33%