Goa University
Amazon cover image
Image from Amazon.com
Image from Google Jackets

Curve and Surface Reconstruction : Algorithms with Mathematical Analysis / Tamal K. Dey.

By: Material type: TextTextSeries: Cambridge Monographs on Applied and Computational Mathematics ; 23 | Cambridge Monographs on Applied and Computational Mathematics ; 23.Publisher: Cambridge : Cambridge University Press, 2006Description: 1 online resource (232 pages) : digital, PDF file(s)Content type:
  • text
Media type:
  • computer
Carrier type:
  • online resource
ISBN:
  • 9780511546860 (ebook)
Other title:
  • Curve & Surface Reconstruction
Subject(s): Additional physical formats: Print version: : No titleDDC classification:
  • 516.3/62 22
LOC classification:
  • QA565 .D49 2007
Online resources: Summary: 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.
Tags from this library: No tags from this library for this title. Log in to add tags.
Holdings
Item type Current library Call number Status Date due Barcode
E-Books E-Books Goa University Library Available

Title from publisher's bibliographic system (viewed on 28 Feb 2017).

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.

There are no comments on this title.

to post a comment.

Designed & Maintained by: Goa University (GU Library)
Contact: System Analyst :ans @unigoa.ac.in


Powered by Koha