Visibility Algorithms in the Plane

Cover
Cambridge University Press, 29.03.2007
A human observer can effortlessly identify visible portions of geometric objects present in the environment. However, computations of visible portions of objects from a viewpoint involving thousands of objects is a time consuming task even for high speed computers. To solve such visibility problems, efficient algorithms have been designed. This book presents some of these visibility algorithms in two dimensions. Specifically, basic algorithms for point visibility, weak visibility, shortest paths, visibility graphs, link paths and visibility queries are all discussed. Several geometric properties are also established through lemmas and theorems. With over 300 figures and hundreds of exercises, this book is ideal for graduate students and researchers in the field of computational geometry. It will also be useful as a reference for researchers working in algorithms, robotics, computer graphics and geometric graph theory, and some algorithms from the book can be used in a first course in computational geometry.
 

Inhalt

Point Visibility
13
Weak Visibility and Shortest Paths
46
LRVisibility and Shortest Paths
105
Visibility Graphs
136
Visibility Graph Theory
171
Visibility and Link Paths
218
Visibility and Path Queries
255
Bibliography
295
Index
311
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Beliebte Passagen

Seite 299 - Improved approximation algorithms for the capacitated facility location problem. In Proceedings of the 10th Annual ACM-SIAM Symposium on Discrete Algorithms, pages S875-S876, 1999.
Seite 310 - Finding the Minimum Visible Vertex Distance Between Two Nonintersecting Polygons,
Seite 295 - Visibility Graphs of Staircase Polygons and the Weak Bruhat Order I : From Visibility Graphs to Maximal Chains, Discrete and Computational Geometry, Accepted (pending revisions). 4. J. Abello, K. Kumar, Visibility Graphs and Oriented Matroids (Long Version), Manuscript.
Seite 310 - M. Yamashita, H. Umemoto, I. Suzuki, and T. Kameda. Searching for mobile intruders in a polygonal region by a group of mobile searchers. Algorithmica, 31(2):208—236, 2001.
Seite 295 - A. Aggarwal, H. Booth, J. O'Rourke, S. Suri, and CK Yap. Finding minimal convex nested polygons.

Autoren-Profil (2007)

Subir Kumar Ghosh is a Professor of Computer Science at the Tata Institute of Fundamental Research, Mumbai, India and is a Fellow of the Indian Academy of Sciences. He is the author of around forty papers in the fields of Computational Geometry and Graph Theory and has worked as a visiting scientist in many reputed universities and research institutes around the world.

Bibliografische Informationen