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Multi-band Polarization Imaging and Applications

  • Book
  • © 2016

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

  • Northwestern Polytechnical University, Xi'an, China

    Yongqiang Zhao, Quan Pan, Yongmei Cheng

  • Northwestern Polytechnical University, Xi’an, China

    Chen Yi

  • Sejong University, Seoul, Korea (Republic of)

    Seong G. Kong

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