Visual Perception: Theory and Practice

1. Introduction: Languages, Processes, and Perception ReferencesPart I. Technology Relevant to Visual Perception 2. Light and Introductory Optics 2.1. On the Nature of Light 2.2. Common Light Sources in Vision Research 2.3. Introductory Optics 2.4. Some Optical Systems 2.5. Conclusions References 3. Convolutions and Fourier Methods 3.1. Introduction 3.2. Fourier series and Fourier Transform 3.3. The Discrete Fourier Transform 3.4. Linear Systems, Modulation Transfer Functions, and Filtering 3.5. Digital Image Processing and the Fourier Transform 3.6. Convolutions, Autocorrelations, and other Transforms 3.7. Fourier Transform Routines 3.8. Summary and Conclusions References 4. Network Theory and Systems 4.1. Introduction to Networks 4.2. Networks in Vision 4.3. Statistical and Probability Analyses of Systems 4.4. Summary References 5. Introduction to Geometric Structures 5.1. Introduction 5.2. Projective and Affine Geometries 5.3. Vector Analysis and Metrics 5.4. Some Properties of Curves 5.5. Properties of Surfaces 5.6. Transformations of Curves and Surfaces 5.7. Special Topics 5.8. Conclusions ReferencesPart II. Applications and Current Approaches to Visual Perception 6. Spatial Vision 6.1. Introduction 6.2. Contrast and Intensity Perception 6.3. Texture Perception 6.4. Contours and Illusions (Mechanisms) 6.5. Spatial Equivalences and Perceptual Invariants References 7. The Perception of Motion 7.1. Introduction 7.2. Psychophysics of Real Motion Perception-Relativistic Perspective 7.3. Transformations and Analysis in Motion Perception-Depth Effects 7.4. Apparent Motion 7.5. Conclusions References 8. Specific Issues in Vision 8.1. Colour Vision 8.2. Stereopsis 8.3. Conclusion References 9. Conclusion ReferencesIndex