Visual Computing
The Integration of Computer Graphics, Visual Perception and Imaging
Published on 19. January 2012
Book
Paperback/Softback
XV, 334 pages
978-3-642-85025-7 (ISBN)
Description
The future of computing and communication will apply visual information to a much larger degree than what we are used to, or even what we envisage today. Visual computing addresses the integration of "visual technology" and provides a concept for a common understanding of Computer Graphics, Visual Perception and Imaging. The goal of this book is to present an overview on important topics within this integration in the spirit of recent worldwide research and development. Foundations of visual perception and of psychophysics are presented as well as basic methods of imaging and computer vision. The book serves as a reference and textbook for those who wish to apply or study "visual computing technology".
More details
Series
Edition
Softcover reprint of the original 1st ed. 1994
Language
English
Place of publication
Berlin
Germany
Publishing group
Springer Berlin
Target group
Professional and scholarly
Research
Illustrations
119 farbige Abbildungen, 400 s/w Abbildungen
XV, 334 p. 519 illus., 119 illus. in color.
Dimensions
Height: 235 mm
Width: 155 mm
Thickness: 20 mm
Weight
540 gr
ISBN-13
978-3-642-85025-7 (9783642850257)
DOI
10.1007/978-3-642-85023-3
Schweitzer Classification
Other editions
Additional editions
Book
07/1994
Springer
€139.09
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Content
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.