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Fourier Vision

Segmentation and Velocity Measurement using the Fourier Transform

  • David Vernon

Table of contents

  1. Front Matter
    Pages i-x
  2. David Vernon
    Pages 1-9
  3. David Vernon
    Pages 11-26
  4. David Vernon
    Pages 75-80
  5. David Vernon
    Pages 81-107
  6. David Vernon
    Pages 109-134
  7. David Vernon
    Pages 135-153
  8. David Vernon
    Pages 155-156
  9. Back Matter
    Pages 157-195

About this book

Introduction

Fourier Vision provides a new treatment of figure-ground segmentation in scenes comprising transparent, translucent, or opaque objects. Exploiting the relative motion between figure and ground, this technique deals explicitly with the separation of additive signals and makes no assumptions about the spatial or spectral content of the images, with segmentation being carried out phasor by phasor in the Fourier domain. It works with several camera configurations, such as camera motion and short-baseline binocular stereo, and performs best on images with small velocities/displacements, typically one to ten pixels per frame. The book also addresses the use of Fourier techniques to estimate stereo disparity and optical flow. Numerous examples are provided throughout.
Fourier Vision will be of value to researchers in image processing & computer vision and, especially, to those who have to deal with superimposed transparent or translucent objects. Researchers in application areas such as medical imaging and acoustic signal processing will also find this of interest.

Keywords

Optical flow Signal Stereo computer computer vision image processing imaging medical imaging segmentation signal processing

Authors and affiliations

  • David Vernon
    • 1
  1. 1.National University of IrelandMaynoothIreland

Bibliographic information

  • DOI https://doi.org/10.1007/978-1-4615-1413-8
  • Copyright Information Kluwer Academic Publishers 2001
  • Publisher Name Springer, Boston, MA
  • eBook Packages Springer Book Archive
  • Print ISBN 978-1-4613-5541-0
  • Online ISBN 978-1-4615-1413-8
  • Series Print ISSN 0893-3405
  • Buy this book on publisher's site
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