Check nearby libraries
Buy this book
![Loading indicator](/images/ajax-loader-bar.gif)
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 (such as CT and MRI) and informatics, computer graphics, computer vision, biometrics, and information theory. Advanced-level students in electrical engineering, mathematics, and computer science will also find this book useful as a secondary text book or reference.
Check nearby libraries
Buy this book
![Loading indicator](/images/ajax-loader-bar.gif)
Showing 1 featured edition. View all 1 editions?
Edition | Availability |
---|---|
1
Digital and Discrete Geometry: Theory and Algorithms
2014, Springer
in English
3319120980 9783319120980
|
aaaa
Libraries near you:
WorldCat
|
Book Details
Classifications
The Physical Object
ID Numbers
Community Reviews (0)
Feedback?August 12, 2024 | Edited by MARC Bot | import existing book |
October 2, 2021 | Created by ImportBot | import new book |