Digital and Discrete Geometry: Theory and Algorithms (Hardback or Cased Book)

Chen, Li M.

ISBN 10: 3319120980 ISBN 13: 9783319120980

Editorial: Springer 1/5/2015, 2015

Idioma: Ingl�s

Condici�n: Nuevo Encuadernaci�n de tapa dura

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Descripci�n

Digital and Discrete Geometry: Theory and Algorithms 1.55.

N� de ref. del art�culo BBS-9783319120980

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Detalles bibliogr�ficos

T�tulo

Digital and Discrete Geometry: Theory and Algorithms (Hardback or Cased Book)

Editor

Springer 1/5/2015

Fecha de publicaci�n

2015

Idioma

Ingl�s

ISBN 10

3319120980

ISBN 13

9783319120980

Encuadernaci�n

Hardback or Cased Book

Estado

New

Tipo de libro

Book

Cat�logos de vendedores

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Sinopsis

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 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 reference.

Praise for this book:

This book does present a large collection of important concepts, of mathematical, geometrical, or algorithmical nature, that are frequently used in computer graphics and image processing. These concepts range from graphs through manifolds to homology. Of particular value are the sections dealing with discrete versions of classic continuous notions. The reader finds compact definitions and concise explanations that often appeal to intuition, avoiding finer, but then necessarily more complicated, arguments... As a first introduction, or as a reference for professionals working in computer graphics or image processing, this book should be of considerable value." - Prof. Dr. Rolf Klein, University of Bonn.

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