Non-Photorealistic Computer Graphics: Modeling, Rendering, and Animation / Edition 1

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In the past decade, the field of non-photorealistic computer graphics (NPR) has developed as the product of research marked by diverse and sometimes divergent assumptions, approaches, and aims. This book is the first to offer a systematic assessment of this work, identifying and exploring the underlying principles that have given the field its cohesion. In the course of this assessment, the authors provide detailed accounts of today's major non-photorealistic algorithms, along with the background information and implementation advice you need to put them to productive use. As NPR finds new applications in a broadening array of fields, Non-Photorealistic Computer Graphics is destined to be the standard reference for researchers and practitioners alike.
Traces NPR principles and techniques back to their origins in human vision and perception.
Emphasizes areas that stand to benefit most from advances in NPR, including medical and architectural illustration.
Presents algorithms for both 2D and 3D effects, using pseudo-code where needed.
Examines the techniques behind distinct styles, including pen-and-ink, pencil sketch, and painterly effects.
Explores specific challenges for NPR-including simulation of natural media, artistic techniques, deformations, illustrations, and lighting.
Concludes each chapter with a set of hands-on exercises.
Via a companion Web site, provides additional information on NPR, including a forum in which to interact with other NPR professionals.

Audience: Computer graphics programmers.

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Editorial Reviews

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The Barnes & Noble Review
An immense amount of effort (and processor cycles) has gone into creating computer graphics and animations that mimic the real world. But CG professionals are discovering what painters and photographers already know: There's more to life than realism. The field of non-photorealistic rendering (NPR) is rapidly coming of age, as researchers, illustrators, and artists explore new ways to create computer images that appear hand-wrought. Non-Photorealistic Computer Graphics brings this sprawling new field into focus.

Folks outside the field may be surprised to discover that there are specific principles and mathematical algorithms you can use to make things look "non-realistic." This book introduces them: the careful use of randomness, ambiguity, arbitrariness, and distortion; methods based on 2D and 3D data structures; and finally, a complete conceptual framework for making it all fit together.

NPR's applications range from cartoons (where it permits the seamless integration of digital 3D with old-fashioned cel animation) to all kinds of architectural and medical illustration. It's terrific where you want folks to remember that something won't look exactly as you're imagining it (e.g., that new kitchen you're designing at Home Depot). And it can be amazingly expressive. It may be the real future of computer graphics. (Bill Camarda)

Bill Camarda is a consultant, writer, and web/multimedia content developer with nearly 20 years' experience in helping technology companies deploy and market advanced software, computing, and networking products and services. He served for nearly ten years as vice president of a New Jersey┬ľbased marketing company, where he supervised a wide range of graphics and web design projects. His 15 books include Special Edition Using Word 2000 and Upgrading & Fixing Networks For Dummies┬«, Second Edition.

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Product Details

Meet the Author

Thomas Strothotte is professor of computer science at the University of Magdeburg (Germany), where he founded undergraduate and graduate degree programs in computational visualistics. He studied at Simon Fraser University, the University of Waterloo, and McGill University. He has held teaching and research appointments at INRIA Rocquencourt, the University of Stuttgart, Free University of Berlin, and the former IBM Scientific Center in Heidelberg.

Stefan Schlechtweg is assistant professor at the University of Magdeburg (Germany), where his teaching and research areas are computer graphics and interactive systems. He received his Ph.D. from the University of Magdeburg in 1999.

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Table of Contents

Chapter 1 - Introduction
Chapter 2 - Pixel Manipulation of Images
Chapter 3 - Lines, Curves, and Strokes
Chapter 4 - Simulating Natural Media and Artistic Techniques
Chapter 5 - Stroke-Based Illustrations
Chapter 6 - Working with 2.5D Data Structures
Chapter 7 - Geometric Models and Their Exploitation in NPR
Chapter 8 - Lighting Models for NPR
Chapter 9 - Distorting Non-Realistic Renditions
Chapter 10 - Applications for NPR
Chapter 11 - A Conceptual Framework for NPR
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