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Transactions on Computational Science XXXVII: Special Issue on Computer Graphics: Lecture Notes in Computer Science, cartea 12230

Editat de Marina L. Gavrilova, C. J. Kenneth Tan, Jian Chang, Nadia Magnenat Thalmann
en Limba Engleză Paperback – 14 iul 2020
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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Specificații

ISBN-13: 9783662619827
ISBN-10: 3662619822
Pagini: 171
Ilustrații: XIII, 171 p. 83 illus., 73 illus. in color.
Dimensiuni: 155 x 235 mm
Greutate: 0.27 kg
Ediția:1st ed. 2020
Editura: Springer Berlin, Heidelberg
Colecția Springer
Seriile Lecture Notes in Computer Science, Transactions on Computational Science

Locul publicării:Berlin, Heidelberg, Germany

Cuprins

Do Distant or Colocated Audiences Affect User Activity in VR?.- Polarization for Coherent Augmented Reality Scene on Mobile Devices.- Integrated Analysis and Hypothesis Testing for Complex Spatio-temporal Data.- Action Sequencing in VR: A No-Code Approach.- Single Color Sketch-Based Image Retrieval in HSV Color Space.- Integral-Based Material Point Method and Peridynamics Model for Animating Elastoplastic Material.- A Perceptually Coherent TMO for Visualization of 360° HDR Images on HMD.- Simulating Crowds and Autonomous Vehicles.- MagiPlay: An Augmented Reality Serious Game Allowing Children to Program Intelligent Environments

Textul de pe ultima copertă

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.

Caracteristici

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