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Introduction to Computer Graphics
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Introduction to Computer Graphics : Using OpenGL and Java

3rd ed. 2023

Book Details

Format Paperback / Softback
ISBN-10 3031281349
ISBN-13 9783031281341
Edition 3rd ed. 2023
Publisher Springer International Publishing AG
Imprint Springer International Publishing AG
Country of Manufacture GB
Country of Publication GB
Publication Date Jun 6th, 2023
Print length 467 Pages
Weight 784 grams
Dimensions 15.40 x 23.40 x 2.70 cms
Ksh 7,200.00
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A basic understanding of the key techniques in computer graphics can open the door to this exciting field and its many applications, including for video games and for augmented and virtual reality. This easy-to-follow textbook and 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 usage of example programs and exercises. Topics and features:Contains pedagogical tools, including easy-to-understand example programs and end-of-chapter exercisesPresents a practical guide to basic computer graphics programming using the Open Graphics Library (OpenGL) and the widely used Java programming languageIncludes new and expanded content on the OpenGL graphics pipelines, shader programming, drawing basic objects using the OpenGL, three-dimensional modelling, quaternions, rasterisation, antialiasing and moreSupplies complete Java project examples as supplementary materialThis 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. It will enable readers to immediately implement these concepts using the OpenGL and Java (with only elementary knowledge of the programming language). Prof. Dr.-Ing. Karsten Lehn works at the Faculty of Information Technology at Fachhochschule Dortmund, University of Applied Sciences and Arts. Prof. Dr. Merijam Gotzes is teaching at Hamm-Lippstadt University of Applied Sciences. 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.

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