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. Language: English