Mathematical Insights into Advanced Computer Graphics Techniques (Hardcover, 1st ed. 2019)


This book presents cutting-edge developments in the advanced mathematical theories utilized in computer graphics research - fluid simulation, realistic image synthesis, and texture, visualization and digital fabrication. A spin-off book from the International Symposium on Mathematical Progress in Expressive Image Synthesis in 2016 and 2017 (MEIS2016/2017) held in Fukuoka, Japan, it includes lecture notes and an expert introduction to the latest research presented at the symposium. The book offers an overview of the emerging interdisciplinary themes between computer graphics and driven mathematic theories, such as discrete differential geometry. Further, it highlights open problems in those themes, making it a valuable resource not only for researchers, but also for graduate students interested in computer graphics and mathematics.

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Product Description

This book presents cutting-edge developments in the advanced mathematical theories utilized in computer graphics research - fluid simulation, realistic image synthesis, and texture, visualization and digital fabrication. A spin-off book from the International Symposium on Mathematical Progress in Expressive Image Synthesis in 2016 and 2017 (MEIS2016/2017) held in Fukuoka, Japan, it includes lecture notes and an expert introduction to the latest research presented at the symposium. The book offers an overview of the emerging interdisciplinary themes between computer graphics and driven mathematic theories, such as discrete differential geometry. Further, it highlights open problems in those themes, making it a valuable resource not only for researchers, but also for graduate students interested in computer graphics and mathematics.

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Product Details

General

Imprint

Springer Verlag, Singapore

Country of origin

Singapore

Series

Mathematics for Industry, 32

Release date

December 2018

Availability

Expected to ship within 10 - 15 working days

First published

2019

Editors

, ,

Dimensions

235 x 155mm (L x W)

Format

Hardcover

Pages

163

Edition

1st ed. 2019

ISBN-13

978-981-13-2849-7

Barcode

9789811328497

Categories

LSN

981-13-2849-8



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