9784431550068-4431550062-Mathematical Progress in Expressive Image Synthesis I: Extended and Selected Results from the Symposium MEIS2013 (Mathematics for Industry, 4)

Mathematical Progress in Expressive Image Synthesis I: Extended and Selected Results from the Symposium MEIS2013 (Mathematics for Industry, 4)

ISBN-13: 9784431550068
ISBN-10: 4431550062
Edition: 2014
Author: Ken Anjyo
Publication date: 2014
Publisher: Springer
Format: Hardcover 198 pages
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Book details

ISBN-13: 9784431550068
ISBN-10: 4431550062
Edition: 2014
Author: Ken Anjyo
Publication date: 2014
Publisher: Springer
Format: Hardcover 198 pages

Summary

Mathematical Progress in Expressive Image Synthesis I: Extended and Selected Results from the Symposium MEIS2013 (Mathematics for Industry, 4) (ISBN-13: 9784431550068 and ISBN-10: 4431550062), written by authors Ken Anjyo, was published by Springer in 2014. With an overall rating of 4.4 stars, it's a notable title among other AI & Machine Learning (Graphics & Design, Graphics & Multimedia, Programming, Software Design, Testing & Engineering, Voice Recognition, Software, Applied, Mathematics, Computer Science) books. You can easily purchase or rent Mathematical Progress in Expressive Image Synthesis I: Extended and Selected Results from the Symposium MEIS2013 (Mathematics for Industry, 4) (Hardcover) from BooksRun, along with many other new and used AI & Machine Learning books and textbooks. And, if you're looking to sell your copy, our current buyback offer is $0.3.

Description

This book presents revised versions of the best papers selected from the symposium “Mathematical Progress in Expressive Image Synthesis” (MEIS2013) held in Fukuoka, Japan, in 2013. The topics cover various areas of computer graphics (CG), such as surface deformation/editing, character animation, visual simulation of fluids, texture and sound synthesis and photorealistic rendering. From a mathematical point of view, the book also presents papers addressing discrete differential geometry, Lie theory, computational fluid dynamics, function interpolation and learning theory. This book showcases the latest joint efforts between mathematicians, CG researchers and practitioners exploring important issues in graphics and visual perception.

The book provides a valuable resource for all computer graphics researchers seeking open problem areas, especially those now entering the field who have not yet selected a research direction.
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