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Computer Vision/Computer Graphics Collaboration Techniques

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Cover of 'Computer Vision/Computer Graphics Collaboration Techniques'

Table of Contents

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    Book Overview
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    Chapter 1 Bundle Adjustment for Stereoscopic 3D
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    Chapter 2 3D Modeling of Haussmannian Facades
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    Chapter 3 Lung Cancer Detection from Thoracic CT Scans Using 3-D Deformable Models Based on Statistical Anatomical Analysis
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    Chapter 4 An Evaluation on Estimators for Stochastic and Heuristic Based Cost Functions Using the Epipolar-Constraint
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    Chapter 5 Facial Movement Based Recognition
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    Chapter 6 Towards Temporally-Coherent Video Matting
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    Chapter 7 Leaf Segmentation and Tracking Using Probabilistic Parametric Active Contours
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    Chapter 8 Gallbladder Segmentation from 2–D Ultrasound Images Using Active Contour Models and Gradient Vector Flow
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    Chapter 9 Multi-view Alpha Matte for Free Viewpoint Rendering
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    Chapter 10 Using Spatially Distributed Patterns for Multiple View Camera Calibration
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    Chapter 11 Optimal Gabor Filters and Haralick Features for the Industrial Polarization Imaging
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    Chapter 12 Joint Histogram Modelling for Segmentation Multiple Sclerosis Lesions
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    Chapter 13 Surface Reconstruction of Scenes Using a Catadioptric Camera
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    Chapter 14 Creating Chinkin Works in the Virtual Space
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    Chapter 15 Real-Time Multi-view Human Motion Tracking Using 3D Model and Latency Tolerant Parallel Particle Swarm Optimization
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    Chapter 16 Snap Image Composition
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    Chapter 17 Towards the Automatic Generation of 3D Photo-Realistic Avatars Using 3D Scanned Data
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    Chapter 18 Content Based Image Retrieval Using Visual-Words Distribution Entropy
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    Chapter 19 Video Summarization Using a Self-Growing and Self-Organized Neural Gas Network
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    Chapter 20 Real-Time Upper-Body Human Pose Estimation Using a Depth Camera
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    Chapter 21 Image Matting with Transductive Inference
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    Chapter 22 A New Buckling Model for Cloth Simulation
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    Chapter 23 A Public System for Image Based 3D Model Generation
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    Chapter 24 A Novel Approach to Image Assessment by Seeking Unification of Subjective and Objective Criteria Based on Supervised Learning
Attention for Chapter 17: Towards the Automatic Generation of 3D Photo-Realistic Avatars Using 3D Scanned Data
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Chapter title
Towards the Automatic Generation of 3D Photo-Realistic Avatars Using 3D Scanned Data
Chapter number 17
Book title
Computer Vision/Computer Graphics Collaboration Techniques
Published by
Springer, Berlin, Heidelberg, October 2011
DOI 10.1007/978-3-642-24136-9_17
Book ISBNs
978-3-64-224135-2, 978-3-64-224136-9
Authors

Thibault Luginbühl, Laurent Delattre, André Gagalowicz

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 %
Spain 1 20%
Greece 1 20%
Unknown 3 60%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 2 40%
Researcher 1 20%
Lecturer 1 20%
Student > Master 1 20%
Readers by discipline Count As %
Computer Science 5 100%