Guide to Computational Geometry Processing - Foundations, Algorithms, and Methods (Hardcover, 2012 ed.)

This book reviews the algorithms for processing geometric data, with a practical focus on important techniques not covered by traditional courses on computer vision and computer graphics. Features: presents an overview of the underlying mathematical theory, covering vector spaces, metric space, affine spaces, differential geometry, and finite difference methods for derivatives and differential equations; reviews geometry representations, including polygonal meshes, splines, and subdivision surfaces; examines techniques for computing curvature from polygonal meshes; describes algorithms for mesh smoothing, mesh parametrization, and mesh optimization and simplification; discusses point location databases and convex hulls of point sets; investigates the reconstruction of triangle meshes from point clouds, including methods for registration of point clouds and surface reconstruction; provides additional material at a supplementary website; includes self-study exercises throughout the text.

General

Imprint:	Springer London
Country of origin:	United Kingdom
Release date:	June 2012
First published:	2012
Authors:	J. Andreas Baerentzen • Jens Gravesen • Francois Anton • Henrik Aanaes
Dimensions:	235 x 155 x 23mm (L x W x T)
Format:	Hardcover
Pages:	326
Edition:	2012 ed.
ISBN-13:	978-1-4471-4074-0
Categories:	Books > Computing & IT > General theory of computing > Mathematical theory of computation Books > Computing & IT > Computer programming > General Books > Science & Mathematics > Mathematics > Applied mathematics > Mathematics for scientists & engineers Books > Professional & Technical > Technology: general issues > Technical design > Computer aided design (CAD) Books > Computing & IT > Applications of computing > Artificial intelligence > General Books > Computing & IT > Applications of computing > Image processing > General Promotions
LSN:	1-4471-4074-5
Barcode:	9781447140740

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