Fourier Vision : Segmentation and Velocity Measurement Using the Fourier Transform

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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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