Author: Thomas Strothotte

Publisher: Elsevier

Published: 2002-04-24

Total Pages: 501

ISBN-13: 0080512844

Even as developments in photorealistic computer graphics continue to affect our work and leisure activities, practitioners and researchers are devoting more and more attention to non-photorealistic (NPR) techniques for generating images that appear to have been created by hand. These efforts benefit every field in which illustrations—thanks to their ability to clarify, emphasize, and convey very precise meanings—offer advantages over photographs. These fields include medicine, architecture, entertainment, education, geography, publishing, and visualization. Non-Photorealistic Computer Graphics is the first and only resource to examine non-photorealistic efforts in depth, providing detailed accounts of the major algorithms, as well as the background information and implementation advice readers need to make headway with these increasingly important techniques. Already, an estimated 10% of computer graphics users require some form of non-photorealism. Strothotte and Schlechtweg's important new book is designed and destined to be the standard NPR reference for this large, diverse, and growing group of professionals. Hard-to-find information needed by a wide range and growing number of computer graphics programmers and applications users. Traces NPR principles and techniques back to their origins in human vision and perception. Focuses on areas that stand to benefit most from advances in NPR, including medical and architectural illustration, cartography, and data visualization. Presents algorithms for two and three-dimensional effects, using pseudo-code where needed to clarify complex steps. Helps readers attain pen-and-ink, pencil-sketch, and painterly effects, in addition to other styles. Explores specific challenges for NPR—including "wrong" marks, deformation, natural media, artistic technique, lighting, and dimensionality. Includes a series of programming projects in which readers can apply the book's concepts and algorithms.