Vernon Fourier Vision

Segmentation and Velocity Measurement using the Fourier Transform
Erscheinungsjahr 2012
ISBN: 978-1-4615-1413-8
Verlag: Springer US
Format: PDF
Kopierschutz: 1 - PDF Watermark

E-Book, Englisch, Band 623, 195 Seiten, eBook

Reihe: The Springer International Series in Engineering and Computer Science

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.

Zielgruppe

Research

Autoren/Hrsg.

Vernon, David

Inhaltsverzeichnis

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.