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OverviewMany 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 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. Full Product DetailsAuthor: Tamal K Dey (The Ohio State University Ohio State University Ohio State University Ohio State University Ohio State University Ohio State University Ohio State University Ohio State University) , M J Ablowitz (University of Colorado, Boulder) , S H Davis , E J Hinch (University of Cambridge)Publisher: Cambridge University Press Imprint: Cambridge University Press ISBN: 9781280749339ISBN 10: 1280749334 Pages: 214 Publication Date: 10 January 2010 Audience: General/trade , General Format: Electronic book text Publisher's Status: Active Availability: In stock  We have confirmation that this item is in stock with the supplier. It will be ordered in for you and dispatched immediately. Table of ContentsReviewsAuthor InformationTab Content 6Author Website:Countries AvailableAll regions |
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