Overview
- The first book systematically introduces the multi-band polarization imaging theory and application in computer vision, using not only spatial and polarimetric information but spectral information
- Provides abundant experiment data and practical evaluation methods for multi-band polarization imaging design, analysis and modeling
- Readers can get a complete understanding about multi-band polarimetric imaging and its application in different vision tasks like object detection and visibility enhancement
- Includes supplementary material: sn.pub/extras
Part of the book series: Advances in Computer Vision and Pattern Recognition (ACVPR)
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Table of contents (7 chapters)
Keywords
About this book
This book introduces the optical multi-band polarization imaging theory and the utilization of the multi-band polarimetric information for detecting the camouflage object and the optical hidden marker, and enhancing the visibility in bad weather and water. The book describes systematically and in detail the basic optical polarimetry theory; provides abundant multi-band polarimetric imaging experiment data; and indicates practical evaluation methods for designing the multi-band polarization imager, for analyzing and modeling the object’s multi-band polarization characteristics, and for enhancing the vision performance in scattering media. This book shows the latest research results of multi-band polarimetric vision, especially in camouflage object detection, optical hidden marker detection and multi-band polarimetric imagery fusion. From this book, readers can get a complete understanding about multi-band polarimetric imaging and its application in different vision tasks.
Authors and Affiliations
Bibliographic Information
Book Title: Multi-band Polarization Imaging and Applications
Authors: Yongqiang Zhao, Chen Yi, Seong G. Kong, Quan Pan, Yongmei Cheng
Series Title: Advances in Computer Vision and Pattern Recognition
DOI: https://doi.org/10.1007/978-3-662-49373-1
Publisher: Springer Berlin, Heidelberg
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: National Defense Industry Press, Beijing and Springer-Verlag Berlin Heidelberg 2016
Hardcover ISBN: 978-3-662-49371-7Published: 18 March 2016
Softcover ISBN: 978-3-662-57005-0Published: 25 April 2018
eBook ISBN: 978-3-662-49373-1Published: 09 March 2016
Series ISSN: 2191-6586
Series E-ISSN: 2191-6594
Edition Number: 1
Number of Pages: X, 194
Number of Illustrations: 77 b/w illustrations, 35 illustrations in colour
Topics: Signal, Image and Speech Processing, Computer Imaging, Vision, Pattern Recognition and Graphics, Classical Electrodynamics, Remote Sensing/Photogrammetry