Guide to Computational Geometry Processing: Foundations, Algorithms, and Methods - Henrik Aanæs,François Anton,J. Andreas Bærentzen,Jens Gravesen
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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; re ... Pilns apraksts
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Aprašymas
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.
Vairāk informācijas
| Autors | Henrik Aanæs, François Anton, J. Andreas Bærentzen, Jens Gravesen |
|---|---|
| Izdevējs | Springer London |
| Izlaides gads | 2012 |
| Vāka tips | Cietais vāks |
| EAN | 9781447140740 |