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Curve and Surface Reconstruction: Algorithms with Mathematical Analysis (Cambridge Monographs on Applied and Computational Mathematics, Series Number 23) - Softcover
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.
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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.
About the Author
Tamal K. Dey is Professor of Computer Science at the Ohio State University. He received his PhD from Purdue University. Before joining the Ohio State University he held faculty positions at Indian Institute of Technology, Kharagpur and research positions at the University of Illinois and Max Planck Institute. His primary research area is Computational Geometry and Computational Topology with applications to geometric modeling. He has authored more than fifty papers in this area and has lectured extensively on the topic of reconstruction and mesh generation in various academic forums.
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- PublisherCambridge University Press
- Publication date2011
- ISBN 10 0521175186
- ISBN 13 9780521175180
- BindingPaperback
- LanguageEnglish
- Number of pages230
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Curve and Surface Reconstruction: Algorithms with Mathematical Analysis (Cambridge Monographs on Applied and Computational Mathematics, Series Number 23)
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Cambridge University Press, 2011
ISBN 10: 0521175186
ISBN 13: 9780521175180
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Curve and Surface Reconstruction (Paperback)
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Cambridge University Press, Cambridge, 2011
ISBN 10: 0521175186
ISBN 13: 9780521175180
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Paperback. Condition: new. Paperback. 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. 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. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Seller Inventory # 9780521175180
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Curve and Surface Reconstruction
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Curve and Surface Reconstruction
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Curve and Surface Reconstruction: Algorithms With Mathematical Analysis
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Curve and Surface Reconstruction: Algorithms with Mathematical Analysis (Cambridge Monographs on Applied and Computational Mathematics, Series Number 23)
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ISBN 13: 9780521175180
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Curve and Surface Reconstruction
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Curve and Surface Reconstruction : Algorithms with Mathematical Analysis
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Curve and Surface Reconstruction (Paperback)
Published by
Cambridge University Press, Cambridge, 2011
ISBN 10: 0521175186
ISBN 13: 9780521175180
New
Paperback
Seller: CitiRetail, Stevenage, United Kingdom
Seller rating 5 out of 5 stars
Paperback. Condition: new. Paperback. 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. 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. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. Seller Inventory # 9780521175180
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