Fourier Vision

Segmentation and Velocity Measurement using the Fourier Transform

By:

David Vernon

Format:

Hardback

Series:

The Springer International Series in Engineering and Computer Science

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Description

"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."Four ier Vision" should be of value to researchers in image processing and 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.

Release date Australia

June 30th, 2001

Author

David Vernon

Audiences

Postgraduate, Research & Scholarly
Professional & Vocational
Undergraduate

Illustrations

X, 195 p.

Pages

195

Series

The Springer International Series in Engineering and Computer Science

Dimensions

155x235x12

ISBN-13

9780792374138

Product ID

3181715

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