Exploration of Computer Graphics | Buch | 978-1-77469-443-5 | www.sack.de

Buch, Englisch, 277 Seiten, Hardback, Format (B × H): 154 mm x 232 mm, Gewicht: 476 g

Exploration of Computer Graphics


Erscheinungsjahr 2022
ISBN: 978-1-77469-443-5
Verlag: Arcler Press

Buch, Englisch, 277 Seiten, Hardback, Format (B × H): 154 mm x 232 mm, Gewicht: 476 g

ISBN: 978-1-77469-443-5
Verlag: Arcler Press


The book Exploration of Computer Graphics walks students through the process of creating their own interactive graphics application. The text demonstrates step-by-step how to apply computer graphics concepts and theory to real-world practical applications. Each chapter focuses on a different component of computer graphics, such as 3D modelling and lighting. This book delivers extensive knowledge since it follows the straight and narrow path through what is essential for understanding how images are displayed on screens using the complementary approaches of ray tracing and rasterization. Ray tracing is the simplest method for producing images of 3D situations, and it is addressed first, followed by the mathematical machinery required for the graphics pipeline, and lastly, the channel itself. This handbook teaches students how to handle 3D geometric transformations, texturing, complicated lighting effects, and other topics. This hands-on technique encourages students to sketch the elements and effects required to make a visually appealing application, such as computer games or software. This book is suitable for the readers from diverse backgrounds. Teachers, students, graphic designers, and software houses can benefit from the contents of this book.

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Adele Kuzmiakova is a machine learning engineer focusing on solving problems in machine learning, deep learning, and computer vision. Adele currently works as a senior machine learning engineer at Ifolor focusing on creating engaging photo stories and products. Adele attended Cornell University in New York, United States for her undergraduate studies. She studied engineering with a focus on applied math. Some of the deep learning problems Adele worked on include predicting air quality from public webcams, developing a real-time human movement tracking, and using 3D computer vision to create 3D avatars from selfies in order to bring online clothes shopping closer to reality. She is also passionate about exchanging ideas and inspiring other people and acted as a workshop organizer at Women in Data Science conference in Geneva, Switzerland.



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