Markus Groß

Visual Computing

The Integration of Computer Graphics, Visual Perception and Imaging

• Broschiertes Buch

Produktbeschreibung

Advances in computing and communications have brought about an increasing demand for visual information. Visual Computing addresses the principles behind "visual technology", and provides readers with a good understanding of how the integration of Computer Graphics, Visual Perception and Imaging is achieved.
Included in the book is an overview of important research areas within this integration which will be useful for further work in the field. Foundations of visual perception and psychophysics are presented as well as basic methods of imaging and computer vision.
This book serves as an excellent reference and textbook for those who wish to apply or study "visual computing technology."

Produktdetails

• Computer Graphics: Systems and Applications
• Verlag: Springer / Springer Berlin Heidelberg / Springer, Berlin
• Artikelnr. des Verlages: 978-3-642-85025-7
• Softcover reprint of the original 1st ed. 1994
• Seitenzahl: 356
• Erscheinungstermin: 19. Januar 2012
• Englisch
• Abmessung: 235mm x 155mm x 20mm
• Gewicht: 540g
• ISBN-13: 9783642850257
• ISBN-10: 3642850251
• Artikelnr.: 36119070

Inhaltsangabe

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.