A basic understanding of the key techniques in computer graphics can open the door to this exciting field and its many applications.

This easy-to-follow textbook/reference introduces the fundamental concepts of computer graphics, integrating both technical background and theory with practical examples and applications throughout. Thoroughly revised and updated, this new edition continues to present a user-friendly approach to creating images and animations, complementing the expanded coverage of topics with extensive usage of example programs and exercises.

Topics and features: provides an ideal, self-contained introduction to computer graphics, with theory and practice presented in integrated combination; presents a practical guide to basic computer graphics programming using Java 2D and 3D; includes new and expanded content on the integration of text in 3D, particle systems, billboard behaviours, dynamic surfaces, the concept of level of detail, and the use of functions of two variables for surface modelling; contains many pedagogical tools, including numerous easy-to-understand example programs and end-of-chapter exercises; supplies useful supplementary material, including additional exercises, solutions, and program examples, at the associated website http: //public.ostfalia.de/ klawonn/computergraphics.

This reader-friendly textbook is an essential tool for second-year undergraduate students and above, providing clear and concise explanations of the basic concepts of computer graphics, and enabling the reader to immediately implement these concepts in Java 2D and/or 3D with only elementary knowledge of the programming language.
About the Author:

Prof. Dr.-Ing. Karsten Lehn is a member of the Faculty of Information Technology at Fachhochschule Dortmund, University of Applied Sciences and Arts. He has over ten years of industry experience and is lecturer since 2011. His teaching experience includes computer graphics, image processing, augmented reality, virtual reality, human-computer interaction, and basics of computer science.

Prof. Dr. Merijam Gotzes, a mathematics graduate and computer science doctor, has been teaching computational visualistics and computer science at Hamm-Lippstadt University of Applied Sciences since 2012. Her teaching experience includes computer graphics, image processing and basic computer science and mathematics, as well as graph drawing, information visualisation and visual analytics.

Prof. Dr. Frank Klawonn is head of the Data Analysis and Pattern Recognition Laboratory at the Ostfalia University of Applied Sciences and heads the Biostatistics Research Group at the Helmholtz Centre for Infection Research. As part of his teaching and research activities, he is intensively involved with visualisation techniques for data analysis.