Automatic Calibration and Reconstruction for Active Vision Systems

  • Beiwei Zhang
  • Y. F. Li

Table of contents

  1. Front Matter
    Pages 1-1
  2. Beiwei Zhang, Y. F. Li
    Pages 1-15
  3. Beiwei Zhang, Y. F. Li
    Pages 17-33
  4. Beiwei Zhang, Y. F. Li
    Pages 35-56
  5. Beiwei Zhang, Y. F. Li
    Pages 57-91
  6. Beiwei Zhang, Y. F. Li
    Pages 93-115
  7. Beiwei Zhang, Y. F. Li
    Pages 117-150
  8. Beiwei Zhang, Y. F. Li
    Pages 151-154
  9. Back Matter
    Pages 152-152

About this book

Introduction

In this book, the design of two new planar patterns for camera calibration of intrinsic parameters is addressed and a line-based method for distortion correction is suggested. The dynamic calibration of structured light systems, which consist of a camera and a projector is also treated. Also, the 3D Euclidean reconstruction by using the image-to-world transformation is investigated. Lastly, linear calibration algorithms for the catadioptric camera are considered, and the homographic matrix and fundamental matrix are extensively studied. In these methods, analytic solutions are provided for the computational efficiency and redundancy in the data can be easily incorporated to improve reliability of the estimations. This volume will therefore prove valuable and practical tool for researchers and practioners working in image processing and computer vision and related subjects.

Keywords

automatic calibration catadioptric camera fundamental matrix homography matrix structures light system

Authors and affiliations

  • Beiwei Zhang
    • 1
  • Y. F. Li
    • 2
  1. 1.Nanjing University of Finance and EconomNanjingChina, People's Republic
  2. 2.Dept. Manufacturing Engineering &, Engineering ManagementCity University of Hong KongHong KongHong Kong SAR

Bibliographic information

  • DOI https://doi.org/10.1007/978-94-007-2654-3
  • Copyright Information Springer Science+Business Media B.V. 2012
  • Publisher Name Springer, Dordrecht
  • eBook Packages Engineering
  • Print ISBN 978-94-007-2653-6
  • Online ISBN 978-94-007-2654-3
  • Series Print ISSN 2213-8986
  • About this book
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