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Modelling and Motion Capture Techniques for Virtual Environments

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Cover of 'Modelling and Motion Capture Techniques for Virtual Environments'

Table of Contents

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    Book Overview
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    Chapter 1 Motion Analysis in Clinical Practice Using Ambulatory Accelerometry
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    Chapter 2 A Robust Human-Silhouette Extraction Technique for Interactive Virtual Environments
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    Chapter 3 Local and Global Skeleton Fitting Techniques for Optical Motion Capture
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    Chapter 4 3D Part Recognition Method for Human Motion Analysis
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    Chapter 5 Motion Capture Data Manipulation and Reuse via B-splines
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    Chapter 6 Motion Abstraction and Mapping with Spatial Constraints
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    Chapter 7 Artificial Neural Networks for Motion Emulation in Virtual Environments
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    Chapter 8 Synthesis of Human Motion Using Kalman Filter
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    Chapter 9 Real-Time Hand and Head Tracking for Virtual Environments Using Infrared Beacons
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    Chapter 10 A Graphics Compiler for a 3-Dimensional Captured Image Database and Captured Image Reusability
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    Chapter 11 VideoVR: A Real-Time System for Automatically Constructing Panoramic Images from Video Clips
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    Chapter 12 The Video Yardstick
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    Chapter 13 Real-Time Inverse Kinematics through Constrained Dynamics
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    Chapter 14 Goal-Directed Navigation for Animated Characters Using Real-Time Path Planning and Control
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    Chapter 15 Real-Time Requirements for the Implementation of Speech-Controlled Artificial Actors
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    Chapter 16 3D Modeling from Captured Images Using Bi-directional Ray Traversal Method
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    Chapter 17 Face Models from Uncalibrated Video Sequences
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    Chapter 18 A 3D Reconstruction System for Human Body Modeling
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    Chapter 19 Bézier Volume Deformation Model for Facial Animation and Video Tracking
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    Chapter 20 Head Modeling from Pictures and Morphing in 3D with Image Metamorphosis Based on Triangulation
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    Chapter 21 Facial Animation by Synthesis of Captured and Artificial Data
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Title
Modelling and Motion Capture Techniques for Virtual Environments
Published by
Springer Berlin Heidelberg, May 2003
DOI 10.1007/3-540-49384-0
ISBNs
978-3-54-065353-0, 978-3-54-049384-6
Editors

Magnenat-Thalmann, Nadia, Thalmann, Daniel

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 20 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 20 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 2 10%
Researcher 2 10%
Professor 1 5%
Lecturer 1 5%
Student > Master 1 5%
Other 1 5%
Unknown 12 60%
Readers by discipline Count As %
Computer Science 4 20%
Arts and Humanities 1 5%
Mathematics 1 5%
Engineering 1 5%
Unknown 13 65%