Guide to Computational Geometry Processing
Foundations, Algorithms, and Methods
Nonfiction, Computers, Database Management, Data Processing, Application Software, Computer Graphics, General Computing
| Author: | J. Andreas Bærentzen, Jens Gravesen, Henrik Aanæs, François Anton | ISBN: | 9781447140757 |
| Publisher: | Springer London | Publication: | May 31, 2012 |
| Imprint: | Springer | Language: | English |
| Author: | J. Andreas Bærentzen, Jens Gravesen, Henrik Aanæs, François Anton |
| ISBN: | 9781447140757 |
| Publisher: | Springer London |
| Publication: | May 31, 2012 |
| Imprint: | Springer |
| Language: | English |
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.
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.
