| 书目名称 | Interactive GPU-based Visualization of Large Dynamic Particle Data |
| 编辑 | Martin Falk,Sebastian Grottel,Guido Reina |
| 视频video | http://file.papertrans.cn/471/470501/470501.mp4 |
| 丛书名称 | Synthesis Lectures on Visualization |
| 图书封面 |  |
| 描述 | .Prevalent types of data in scientific visualization are volumetric data, vector field data, and particle-based data. Particle data typically originates from measurements and simulations in various fields, such as life sciences or physics. The particles are often visualized directly, that is, by simple representants like spheres. Interactive rendering facilitates the exploration and visual analysis of the data. With increasing data set sizes in terms of particle numbers, interactive high-quality visualization is a challenging task. This is especially true for dynamic data or abstract representations that are based on the raw particle data..This book covers direct particle visualization using simple glyphs as well as abstractions that are application-driven such as clustering and aggregation. It targets visualization researchers and developers who are interested in visualization techniques for large, dynamic particle-based data. Its explanations focus on GPU-accelerated algorithms for high-performance rendering and data processing that run in real-time on modern desktop hardware. Consequently, the implementation of said algorithms and the required data structures to make use of the |
| 出版日期 | Book 2017 |
| 版次 | 1 |
| doi | https://doi.org/10.1007/978-3-031-02604-1 |
| isbn_softcover | 978-3-031-01476-5 |
| isbn_ebook | 978-3-031-02604-1Series ISSN 2159-516X Series E-ISSN 2159-5178 |
| issn_series | 2159-516X |
| copyright | Springer Nature Switzerland AG 2017 |
|Archiver|手机版|小黑屋|
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