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Computer Vision, Imaging and Computer Graphics -- Theory and Applications

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Cover of 'Computer Vision, Imaging and Computer Graphics -- Theory and Applications'

Table of Contents

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    Book Overview
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    Chapter 1 Real-Time Lattice Boltzmann Shallow Waters Method for Breaking Wave Simulations
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    Chapter 2 Asymmetry Patterns Shape Contexts to Describe the 3D Geometry of Craniofacial Landmarks
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    Chapter 3 Quasi-Delaunay Triangulations Using GPU-Based Edge-Flips
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    Chapter 4 Data-aware picking for medical models
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    Chapter 5 An Interactive Visualization for Tabbed Browsing Behavior Analysis
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    Chapter 6 The Landscape Metaphor for Visualization of Molecular Similarities
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    Chapter 7 Facial Landmarks Localization Estimation by Cascaded Boosted Regression
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    Chapter 8 A Video Retargeting Technique for RGB-D Camera
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    Chapter 9 A Robust Least Squares Solution to the Calibrated Two-View Geometry with Two Known Orientation Angles
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    Chapter 10 Robust Iris Localisation in Challenging Scenarios
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    Chapter 11 Xtru3D: Single-View 3D Object Reconstruction from Color and Depth Data
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    Chapter 12 Facial Landmark Localization and Feature Extraction for Therapeutic Face Exercise Classification
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    Chapter 13 A Curious Vision System for Autonomous and Cumulative Object Learning
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    Chapter 14 Single Camera Hand Pose Estimation from Bottom-Up and Top-Down Processes
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    Chapter 15 Shape from Motion Blur Caused by Random Camera Rotations Imitating Fixational Eye Movements
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Computer Vision, Imaging and Computer Graphics -- Theory and Applications
Published by
Springer Berlin Heidelberg, September 2014
DOI 10.1007/978-3-662-44911-0
978-3-66-244910-3, 978-3-66-244911-0

Battiato, Sebastiano, Coquillart, Sabine, Laramee, Robert S., Kerren, Andreas, Braz, José

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 5 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 5 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 1 20%
Unknown 4 80%
Readers by discipline Count As %
Computer Science 1 20%
Engineering 1 20%
Unknown 3 60%