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Machine Vision Beyond Visible Spectrum

Overview of attention for book
Cover of 'Machine Vision Beyond Visible Spectrum'

Table of Contents

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    Book Overview
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    Chapter 1 Local Feature Based Person Detection and Tracking Beyond the Visible Spectrum
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    Chapter 2 Appearance Learning for Infrared Tracking with Occlusion Handling
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    Chapter 3 3D Model-Driven Vehicle Matching and Recognition
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    Chapter 4 Pattern Recognition and Tracking in Forward Looking Infrared Imagery
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    Chapter 5 A Bayesian Method for Infrared Face Recognition
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    Chapter 6 Fusion of a Camera and a Laser Range Sensor for Vehicle Recognition
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    Chapter 7 A System Approach to Adaptive Multimodal Sensor Designs
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    Chapter 8 Affine Invariant Hyperspectral Image Descriptors Based upon Harmonic Analysis
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    Chapter 9 Tracking and Identification via Object Reflectance Using a Hyperspectral Video Camera
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    Chapter 10 Moving Object Detection and Tracking in Forward Looking Infra-Red Aerial Imagery
Attention for Chapter 3: 3D Model-Driven Vehicle Matching and Recognition
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Citations

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Chapter title
3D Model-Driven Vehicle Matching and Recognition
Chapter number 3
Book title
Machine Vision Beyond Visible Spectrum
Published by
Springer, Berlin, Heidelberg, January 2011
DOI 10.1007/978-3-642-11568-4_3
Book ISBNs
978-3-64-211567-7, 978-3-64-211568-4
Authors

Tingbo Hou, Sen Wang, Hong Qin

View on publisher site
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 2 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 2 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 2 100%
Readers by discipline Count As %
Computer Science 2 100%

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