| 书目名称 | Digital and Discrete Geometry | | 副标题 | Theory and Algorithm | | 编辑 | Li M. Chen | | 视频video | | | 概述 | Explains profound theorems such as Minkowski’s Theorem and solid applications such as persistent analysis.Provides natural links to profound topics including differential discrete geometry.Includes ca | | 图书封面 |  | | 描述 | This book provides comprehensive coverage of the modern methods for geometric problems in the computing sciences. It also covers concurrent topics in data sciences including geometric processing, manifold learning, Google search, cloud data, and R-tree for wireless networks and BigData..The author investigates digital geometry and its related constructive methods in discrete geometry, offering detailed methods and algorithms. The book is divided into five sections: basic geometry; digital curves, surfaces and manifolds; discretely represented objects; geometric computation and processing; and advanced topics. Chapters especially focus on the applications of these methods to other types of geometry, algebraic topology, image processing, computer vision and computer graphics..Digital and Discrete Geometry: Theory and Algorithms targets researchers and professionals working in digital image processing analysis, medical imaging (suchas CT and MRI) and informatics, computer graphics, computer vision, biometrics, and informati.on theory. Advanced-level students in electrical engineering, mathematics, and computer science will also find this book useful as a secondary text book or refe | | 出版日期 | Book 2014 | | 关键词 | Cloud Data Processing; Digital Spaces; Digital Surfaces; Digital and Discrete Geometry; Geometric Algori | | 版次 | 1 | | doi | https://doi.org/10.1007/978-3-319-12099-7 | | isbn_softcover | 978-3-319-34862-9 | | isbn_ebook | 978-3-319-12099-7 | | copyright | Springer International Publishing Switzerland 2014 |
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发表于 2025-3-21 16:18:52
