書目名稱 | Mathematical Foundations of Scientific Visualization, Computer Graphics, and Massive Data Exploratio | 編輯 | Torsten M?ller,Bernd Hamann,Robert D. Russell | 視頻video | http://file.papertrans.cn/627/626165/626165.mp4 | 概述 | Cutting-edge research in a fast-moving cross-disciplinary field touching visualization, computer graphics, and CSE.Includes supplementary material: | 叢書名稱 | Mathematics and Visualization | 圖書封面 |  | 描述 | The goal of visualization is the accurate, interactive, and intuitive presentation of data. Complex numerical simulations, high-resolution imaging devices and incre- ingly common environment-embedded sensors are the primary generators of m- sive data sets. Being able to derive scienti?c insight from data increasingly depends on having mathematical and perceptual models to provide the necessary foundation for effective data analysis and comprehension. The peer-reviewed state-of-the-art research papers included in this book focus on continuous data models, such as is common in medical imaging or computational modeling. From the viewpoint of a visualization scientist, we typically collaborate with an application scientist or engineer who needs to visually explore or study an object which is given by a set of sample points, which originally may or may not have been connected by a mesh. At some point, one generally employs low-order piecewise polynomial approximationsof an object, using one or several dependent functions. In order to have an understanding of a higher-dimensional geometrical “object” or function, ef?cient algorithms supporting real-time analysis and manipulation (- tatio | 出版日期 | Book 2009 | 關(guān)鍵詞 | 3D; Alignment; algorithms; computer; computer graphics; mathematical modeling; modeling; rendering; sets; sta | 版次 | 1 | doi | https://doi.org/10.1007/b106657 | isbn_softcover | 978-3-642-06414-2 | isbn_ebook | 978-3-540-49926-8Series ISSN 1612-3786 Series E-ISSN 2197-666X | issn_series | 1612-3786 | copyright | Springer-Verlag Berlin Heidelberg 2009 |
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書目名稱Mathematical Foundations of Scientific Visualization, Computer Graphics, and Massive Data Exploratio被引頻次 
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