Curve and Surface Reconstruction: Algorithms with Mathematical Analysis: 23 (Cambridge Monographs on Applied and Computational Mathematics, Series Number 23)

Dey, Tamal K.

ISBN 10: 0521863708 / ISBN 13: 9780521863704

Published by Cambridge University Press, 2007

About this Item

Develops the fundamentals for processing point data into a digital mode and presents algorithms for surface reconstruction. Series Editor(s): Ablowitz, Mark J.; Davis, S. H.; Hinch, E. J.; Iserles, A.; Ockendon, J.; Olver, P. J. Series: Cambridge Monographs on Applied and Computational Mathematics. Num Pages: 232 pages, 70 exercises. BIC Classification: UGC; UGK. Category: (P) Professional & Vocational. Dimension: 239 x 159 x 25. Weight in Grams: 498. . 2007. Illustrated. hardcover. . . . .

Seller Inventory # V9780521863704

Bibliographic Details

• Title: Curve and Surface Reconstruction: Algorithms with Mathematical Analysis: 23 (Cambridge Monographs on Applied and Computational Mathematics, Series Number 23)
• Publisher: Cambridge University Press
• Publication Date: 2007
• Language: English
• ISBN 10: 0521863708
• ISBN 13: 9780521863704
• Binding: Hardcover
• Condition: New

About this title

Synopsis

Many applications in science and engineering require a digital model of a real physical object. Advanced scanning technology has made it possible to scan such objects and generate point samples on their boundaries. This book, first published in 2007, shows how to compute a digital model from this point sample. After developing the basics of sampling theory and its connections to various geometric and topological properties, the author describes a suite of algorithms that have been designed for the reconstruction problem, including algorithms for surface reconstruction from dense samples, from samples that are not adequately dense and from noisy samples. Voronoi- and Delaunay-based techniques, implicit surface-based methods and Morse theory-based methods are covered. Scientists and engineers working in drug design, medical imaging, CAD, GIS, and many other areas will benefit from this first book on the subject.

Book Description

After developing the basics of a sampling theory and its connections to various geometric and topological properties, the author describes a suite of algorithms that have been designed for the reconstruction problem, including algorithms for surface reconstruction from dense samples, from samples that are not adequately dense and from noisy samples.