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Time-of-Flight and Depth Imaging. Sensors, Algorithms, and Applications

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Cover of 'Time-of-Flight and Depth Imaging. Sensors, Algorithms, and Applications'

Table of Contents

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    Book Overview
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    Chapter 1 Technical Foundation and Calibration Methods for Time-of-Flight Cameras
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    Chapter 2 Denoising Strategies for Time-of-Flight Data
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    Chapter 3 Stabilization of 3D Position Measurement
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    Chapter 4 Ground Truth for Evaluating Time of Flight Imaging
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    Chapter 5 Mirrors in Computer Graphics, Computer Vision and Time-of-Flight Imaging
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    Chapter 6 A Survey on Time-of-Flight Stereo Fusion
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    Chapter 7 Reconstruction of Deformation from Depth and Color Video with Explicit Noise Models
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    Chapter 8 A Survey on Human Motion Analysis from Depth Data
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    Chapter 9 Full-Body Human Motion Capture from Monocular Depth Images
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    Chapter 10 Gesture Interfaces with Depth Sensors
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    Chapter 11 Real-Time Range Imaging in Health Care: A Survey
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    Chapter 12 A State of the Art Report on Kinect Sensor Setups in Computer Vision
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    Chapter 13 Real-Time Motion Artifact Compensation for PMD-ToF Images
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    Chapter 14 Real-Time Image Stabilization for ToF Cameras on Mobile Platforms
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    Chapter 15 On the Calibration of Focused Plenoptic Cameras
Attention for Chapter 7: Reconstruction of Deformation from Depth and Color Video with Explicit Noise Models
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Citations

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Chapter title
Reconstruction of Deformation from Depth and Color Video with Explicit Noise Models
Chapter number 7
Book title
Time-of-Flight and Depth Imaging. Sensors, Algorithms, and Applications
Published by
Springer, Berlin, Heidelberg, January 2013
DOI 10.1007/978-3-642-44964-2_7
Book ISBNs
978-3-64-244963-5, 978-3-64-244964-2
Authors

Andreas Jordt, Reinhard Koch, Jordt, Andreas, Koch, Reinhard

View on publisher site
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 %
Student > Ph. D. Student 2 40%
Student > Master 2 40%
Student > Postgraduate 1 20%
Readers by discipline Count As %
Computer Science 4 80%
Engineering 1 20%

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