Mathematical Progress in Expressive Image Synthesis I

Extended and Selected Results from the Symposium MEIS2013

  • Ken Anjyo

Part of the Mathematics for Industry book series (MFI, volume 4)

Table of contents

  1. Front Matter
    Pages i-xi
  2. Mathematical Approaches to Computer Graphics and Vision

  3. Sound and Scene Rendering

  4. Fluid and Flow

    1. Front Matter
      Pages 79-79
    2. Yoshinori Dobashi
      Pages 85-91
    3. Syuhei Sato, Yoshinori Dobashi, Kei Iwasaki, Hiroyuki Ochiai, Tsuyoshi Yamamoto
      Pages 93-101
  5. Deformation and Locomotion

    1. Front Matter
      Pages 109-109
    2. Jun -ichi Inoguchi, Kenji Kajiwara, Nozomu Matsuura, Yasuhiro Ohta
      Pages 111-122
    3. Genki Matsuda, Shizuo Kaji, Hiroyuki Ochiai
      Pages 131-138
    4. Wulin Weng, Shin-Ichiro Ei, Kunishige Ohgane
      Pages 139-149
  6. Image Database and Applications

    1. Front Matter
      Pages 151-151
    2. Makoto Okabe, Ken Anjyo, Rikio Onai
      Pages 153-159
    3. Akinobu Maejima, Ai Mizokawa, Daiki Kuwahara, Shigeo Morishima
      Pages 161-170
    4. Syohei Sakiyama, Makoto Okabe, Rikio Onai
      Pages 171-176
    5. Hiromi Hirano, Makoto Okabe, Rikio Onai
      Pages 177-183
  7. Back Matter
    Pages 185-187

About this book


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.


Computational Fluid Dynamics Computer Graphics Function Interpolation Learning Theory Motion and Deformation

Editors and affiliations

  • Ken Anjyo
    • 1
  1. 1.OLM Digital, Inc.TokyoJapan

Bibliographic information

  • DOI
  • Copyright Information Springer Japan 2014
  • Publisher Name Springer, Tokyo
  • eBook Packages Engineering Engineering (R0)
  • Print ISBN 978-4-431-55006-8
  • Online ISBN 978-4-431-55007-5
  • Series Print ISSN 2198-350X
  • Series Online ISSN 2198-3518
  • Buy this book on publisher's site
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