Introduction to Computer Graphics : Using OpenGL and Java
3rd ed. 2023
Book Details
Format
Paperback / Softback
Book Series
Undergraduate Topics in Computer Science
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
Product Classification:
Graphics programmingProgramming & scripting languages: general
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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