Visual Computing

1. Introduction.- 1.1. The Concept of Visual Computing.- 1.2. Organization of the Book.- 2. Psyschophysical Basics.- 2.1. Anatomy of the Human Visual System.- 2.2. Physics of the Human Eye.- 2.3. Measuring Light.- 2.4. Rendering Physically Based Light Sources.- 3. Sensitivity to Light and Color.- 3.1. Visual Perception of Light and Shape.- 3.2. Color Vision.- 3.3. Imaging Transforms.- 4. Visualization and Visibility Analysis.- 4.1. Introduction.- 4.2. Visibility Analysis Using Graphics and Imaging.- 4.3. Interactive Visualization and Simulation.- 5. Computational Vision.- 5.1. Introduction: The Marr Paradigm.- 5.2. Early Visual Processing.- 5.3. Advanced Visibility Analysis for Advertising.- 5.4. Wavelets for Graphics and Imaging.- 5.5. Shape from Stereo.- 5.6. Active Light Approaches: Laser Scanners.- 6. Image Analysis and Neural Networks.- 6.1. Introductory Remarks.- 6.2. Mathematical Foundations.- 6.3. Neural Networks.- 7. Neural Network Applications.- 7.1. Introduction.- 7.2. Recognition of Distorted Characters.- 7.3. Analysis and Visualization of Mutidimensional Remotely Sensed Image Data Sets.- 7.4. Interactive Identification and Reconstruction of Brain Tumors in MR-Images.- 7.5. Automatic Face Recognition.- 8. The Way Ahead.- Literature.