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Next Generation Computer Animation Techniques

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Cover of 'Next Generation Computer Animation Techniques'

Table of Contents

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    Book Overview
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    Chapter 1 Recent Progress of Computational Fluid Dynamics Modeling of Animal and Human Swimming for Computer Animation
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    Chapter 2 Motion Capture and Estimation of Dynamic Properties for Realistic Tree Animation
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    Chapter 3 MPM Based Simulation for Various Solid Deformation
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    Chapter 4 Sampling Hierarchical Position-Based Dynamics Simulation
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    Chapter 5 Fast and Robust Point-in-Spherical-Polygon Tests Using Multilevel Spherical Grids
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    Chapter 6 Repurpose 2D Character Animations for a VR Environment Using BDH Shape Interpolation
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    Chapter 7 Clothes Size Prediction from Dressed-Human Silhouettes
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    Chapter 8 The Application of Motion Capture and 3D Skeleton Modeling in Virtual Fighting
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    Chapter 9 Replacement of Facial Parts in Images
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    Chapter 10 Automatic Data-Driven Room Design Generation
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    Chapter 11 An Efficient Learning-Based Bilateral Texture Filter for Structure Preserving
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    Chapter 12 A Novel Multi-touch Approach for 3D Object Free Manipulation
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    Chapter 13 Sunken Relief Generation from a Single Image
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    Chapter 14 Prototype of Intelligent Data Management System for Computer Animation (iMCA)
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    Chapter 15 A VR-Based Crane Training System for Railway Accident Rescues
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    Chapter 16 Virtual Reality Surgery Simulation: A Survey on Patient Specific Solution
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    Chapter 17 Virtual Reality Based Immersive Telepresence System for Remote Conversation and Collaboration
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2 patents

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17 Mendeley
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Title
Next Generation Computer Animation Techniques
Published by
Springer International Publishing, October 2017
DOI 10.1007/978-3-319-69487-0
ISBNs
978-3-31-969486-3, 978-3-31-969487-0
Editors

Chang, Jian, Zhang, Jian Jun, Magnenat Thalmann, Nadia, Hu, Shi-Min, Tong, Ruofeng, Wang, Wencheng

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 17 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 17 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 5 29%
Student > Master 4 24%
Student > Bachelor 3 18%
Lecturer > Senior Lecturer 1 6%
Researcher 1 6%
Other 1 6%
Unknown 2 12%
Readers by discipline Count As %
Computer Science 8 47%
Engineering 3 18%
Medicine and Dentistry 2 12%
Linguistics 1 6%
Arts and Humanities 1 6%
Other 1 6%
Unknown 1 6%