Book Description
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.
Review
“The topics covered are all very visual, easy to understand, and well explained… A good overview of visibility algorithms in the plane, concentrating on basic algorithms but also covering the state of the art.”
Carola Wenk, Mathematical Reviews
“The text is conversational in tone, yet clear and rigorous in its exposition. In general, this text accomplishes its intended purpose well – providing a graduate-level text on visibility algorithms that can also serve as a useful reference.”
Alice M. Dean for SIGACT News
About the Author
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.
Book Details
- Hardcover: 332 pages
- Publisher: Cambridge University Press; 1 edition (April, 2007)
- Language: English
- ISBN-10: 0521875749
- ISBN-13: 978-0521875745
- File Size: 4.9 MiB
- Hits: 795 times
