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Curve and surface reconstruction :al...
~
Dey, Tamal K. (1964-)
Curve and surface reconstruction :algorithms with mathematical analysis /
紀錄類型:
書目-語言資料,印刷品 : Monograph/item
杜威分類號:
516.3/62
書名/作者:
Curve and surface reconstruction : : algorithms with mathematical analysis // Tamal K. Dey.
其他題名:
Curve & Surface Reconstruction
作者:
Dey, Tamal K.
面頁冊數:
1 online resource (xiii, 214 pages) : : digital, PDF file(s).
附註:
Title from publisher's bibliographic system (viewed on 05 Oct 2015).
標題:
Curves on surfaces - Mathematical models.
標題:
Surfaces - Mathematical models.
標題:
Surfaces, Models of.
ISBN:
9780511546860 (ebook)
摘要、提要註:
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.
電子資源:
http://dx.doi.org/10.1017/CBO9780511546860
Curve and surface reconstruction :algorithms with mathematical analysis /
Dey, Tamal K.1964-
Curve and surface reconstruction :
algorithms with mathematical analysis /Curve & Surface ReconstructionTamal K. Dey. - 1 online resource (xiii, 214 pages) :digital, PDF file(s). - Cambridge monographs on applied and computational mathematics ;23. - Cambridge monographs on applied and computational mathematics ;14..
Title from publisher's bibliographic system (viewed on 05 Oct 2015).
Basics --1.
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.
ISBN: 9780511546860 (ebook)Subjects--Topical Terms:
643219
Curves on surfaces
--Mathematical models.
LC Class. No.: QA565 / .D49 2007
Dewey Class. No.: 516.3/62
Curve and surface reconstruction :algorithms with mathematical analysis /
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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.
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http://dx.doi.org/10.1017/CBO9780511546860
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