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Baerentzen, J. Andreas; Gravesen, Jens; Anton, Francois; Aanaes, Henrik - Guide to Computational Geometry Processing - 9781447160311 - V9781447160311
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Guide to Computational Geometry Processing

€ 78.47
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Description for Guide to Computational Geometry Processing Paperback. This book reviews algorithms for processing geometric data, with a practical focus on techniques not covered by typical courses on computer vision and graphics. Presents an overview of underlying theory, and includes self-study exercises throughout the text. Num Pages: 326 pages, biography. BIC Classification: UGC; UML; UYAM; UYQ; UYT. Category: (P) Professional & Vocational. Dimension: 235 x 155 x 18. Weight in Grams: 528.
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 ... Read more

Product Details

Format
Paperback
Publication date
2014
Publisher
Springer London Ltd United Kingdom
Number of pages
326
Condition
New
Number of Pages
326
Place of Publication
England, United Kingdom
ISBN
9781447160311
SKU
V9781447160311
Shipping Time
Usually ships in 15 to 20 working days
Ref
99-15

Reviews for Guide to Computational Geometry Processing
From the book reviews: “The book consists of two parts—Mathematical Preliminaries and Computational Geometry Processing. Almost 70 pages of linear algebra, differential geometry and finite difference methods comprise all the necessary concepts for the rest of the book. … the book fills a gap in the market for textbook-like publications on geometry processing topics. It could be a valuable ... Read more

Goodreads reviews for Guide to Computational Geometry Processing


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