Mathematical Progress in Expressive Image Synthesis III - Selected and Extended Results from the Symposium MEIS2015 (Paperback, Softcover reprint of the original 1st ed. 2016)

"Progress in Expressive Image Synthesis" (MEIS2015), was held in Fukuoka, Japan, September 25-27, 2015. The aim of the symposium was to provide a unique venue where various issues in computer graphics (CG) application fields could be discussed by mathematicians, CG researchers, and practitioners. Through the previous symposiums MEIS2013 and MEIS2014, mathematicians as well as CG researchers have recognized that CG is a specific and practical activity derived from mathematical theories. Issues found in CG broaden the field of mathematics and vice versa, and CG visualizes mathematical theories in an aesthetic manner. In this volume, the editors aim to provoke interdisciplinary research projects through the peer-reviewed papers and poster presentations at the this year's symposium. This book captures interactions among mathematicians, CG researchers, and practitioners sharing important, state-of-the-art issues in graphics and visual perception. The book is suitable for all CG researchers seeking open problem areas and especially for those entering the field who have not yet selected a research direction.

General

Imprint:	Springer Verlag, Singapore
Country of origin:	Singapore
Series:	Mathematics for Industry, 24
Release date:	May 2018
First published:	2016
Editors:	Yoshinori Dobashi • Hiroyuki Ochiai
Dimensions:	235 x 155 x 9mm (L x W x T)
Format:	Paperback
Pages:	152
Edition:	Softcover reprint of the original 1st ed. 2016
ISBN-13:	978-981-10-9322-7
Categories:	Books > Computing & IT > General theory of computing > General Books > Science & Mathematics > Mathematics > Algebra > General Books > Science & Mathematics > Mathematics > Applied mathematics > General Books > Professional & Technical > Technology: general issues > Technical design > Computer aided design (CAD) Books > Computing & IT > Applications of computing > Artificial intelligence > Computer vision
LSN:	981-10-9322-9
Barcode:	9789811093227

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