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Transactions on Computational Science XXXVII

Special Issue on Computer Graphics

  • Book
  • © 2020


  • Focuses on a wide range of computer graphics applications
  • Topics range from crowd simulation and autonomous vehicles to a serious game allowing children to program intelligent environments
  • Includes a paper on the use of a deep learning method for the analysis of bird song

Part of the book series: Lecture Notes in Computer Science (LNCS, volume 12230)

Part of the book sub series: Transactions on Computational Science (TCOMPUTATSCIE)

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About this book

The LNCS journal Transactions on Computational Science reflects recent developments in the field of Computational Science, conceiving the field not as a mere ancillary science but rather as an innovative approach supporting many other scientific disciplines. The journal focuses on original high-quality research in the realm of computational science in parallel and distributed environments, encompassing the facilitating theoretical foundations and the applications of large-scale computations and massive data processing. It addresses researchers and practitioners in areas ranging from aerospace to biochemistry, from electronics to geosciences, from mathematics to software architecture, presenting verifiable computational methods, findings, and solutions, and enabling industrial users to apply techniques of leading-edge, large-scale, high performance computational methods.This, the 37th issue of the Transactions on Computational Science, is devoted to the area of Computer Graphics. The 9 papers included in the volume constitute extended versions of selected papers presented at the 36th Computer Graphics International Conference, CGI 2019. Topics covered include virtual reality, augmented reality, image retrieval, animation of elastoplastic material, and visualization of 360°HDR images.

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Table of contents (9 chapters)

Editors and Affiliations

  • University of Calgary, Calgary, Canada

    Marina L. Gavrilova

  • Sardina Systems OÜ, Tallinn, Estonia

    C. J. Kenneth Tan

  • Bournemouth University, Poole, UK

    Jian Chang

  • MiraLab, University of Geneva, Geneva, Switzerland

    Nadia Magnenat Thalmann

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