Fourier Vision: Segmentation and Velocity Measurement using the Fourier Transform / Edition 1

Fourier Vision: Segmentation and Velocity Measurement using the Fourier Transform / Edition 1

by David Vernon
     
 

ISBN-10: 0792374134

ISBN-13: 9780792374138

Pub. Date: 01/01/2001

Publisher: Springer US

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

Overview

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.

Product Details

ISBN-13:
9780792374138
Publisher:
Springer US
Publication date:
01/01/2001
Series:
The Springer International Series in Engineering and Computer Science, #623
Edition description:
2001
Pages:
195
Product dimensions:
6.10(w) x 9.25(h) x 0.02(d)

Table of Contents

Preface. 1. Introduction. 2. Mathematical Preliminaries. 3. Monocular Vision - Segmentation in Additive Images. 4. Monocular Vision - Segmentation in Occluding Images. 5. Articulated Binocular Vision. 6. Fronto-Parallel Binocular Vision. 7. Instantaneous Optical Flow. 8. Decoupled Optical Flow. 9. Epilogue.

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