Fourier Vision Segmentation and Velocity Measurement using the Fourier Transform

Fourier Vision Segmentation and Velocity Measurement using the Fourier Transform / by David Vernon.

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...

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Bibliographic Details
Main Author: Vernon, David (Author)
Corporate Author: SpringerLink (Online service)
Format: eBook
Language:English
Published: New York, NY : Springer US : Imprint: Springer, 2001.
Edition:1st ed. 2001.
Series:The Springer International Series in Engineering and Computer Science, 623
Springer eBook Collection.
Subjects:
Optical data processing.
Radiology.
Signal processing.
Image processing.
Speech processing systems.
Electrical engineering.
Electronic resources (E-books)
Online Access:Click to view e-book
Holy Cross Note:Loaded electronically.
Electronic access restricted to members of the Holy Cross Community.
Table of Contents:
  • 1. Introduction
  • 1. Computer Vision
  • 2. Overview of the Fourier Vision Approach
  • 3. Camera Configurations
  • 4. Scope of the Book
  • 2. Mathematical Preliminaries
  • 1. The 2-D Fourier Transform
  • 2. The Hough Transform
  • 3. Monocular Vision — Segmentation in Additive Images
  • 1. Overview
  • 2. The Segmentation Problem
  • 3. The Fourier Model of Segmentation
  • 4. Application of the Technique
  • 5. Conclusion
  • 4. Monocular Vision — Segmentation in Occluding Images
  • 1. Overview
  • 2. Figure-Ground Segmentation of Occluding Translating Objects
  • 3. Application of the Technique
  • 4. Image Complexity
  • 5. Outstanding Issues
  • 6. A Sample of Motion/Stereo Segmentation Techniques
  • 5. Articulated Binocular Vision
  • 1. Motivation
  • 2. Overview
  • 3. Theoretical Framework
  • 6. Fronto-Parallel Binocular Vision
  • 1. Formulation of the Problem
  • 2. The Computational Model
  • 3. Application of the Technique
  • 4. Caveat
  • 7. Instantaneous Optical Flow
  • 1. Motivation
  • 2. Velocity from Phase Change
  • 3. Examples
  • 4. Discussion
  • 5. Conclusions
  • 6. Postscript: Other Approaches
  • 8. Decoupled Optical Flow
  • 1. The Problem of Non-Unique Multiple Local Velocities
  • 2. Algorithm
  • 3. Examples
  • 4. Conclusion
  • 9. Epilogue
  • References.

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