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Guide to computational geometry processing : foundations, algorithms, and methods / Jakob Andreas Bærentzen [and others]



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Titolo: Guide to computational geometry processing : foundations, algorithms, and methods / Jakob Andreas Bærentzen [and others]
Link to work: Guide to computational geometry processing Visualizza cluster
Pubblicazione: London ; New York : Springer, ©2012
Estensione: 1 online resource
Tipo formato: computer
Tipo contenuto: text
Tipo supporto: online resource
Disciplina: 516.00285
Genere/Forma: Electronic books
Index term-Uncontrolled: Computer science
Algebra -- Data processing
Artificial intelligence
Computer graphics
Computer vision
Computer aided design
Math Applications in Computer Science
Symbolic and Algebraic Manipulation
Artificial Intelligence (incl. Robotics)
Image Processing and Computer Vision
Computer-Aided Engineering (CAD, CAE) and Design
Soggetto non controllato: Computer science
Algebra -- Data processing
Artificial intelligence
Computer graphics
Computer vision
Computer aided design
Math Applications in Computer Science
Symbolic and Algebraic Manipulation
Artificial Intelligence (incl. Robotics)
Image Processing and Computer Vision
Computer-Aided Engineering (CAD, CAE) and Design
Termine d'indicizzazione-Occupazione: Computer science
Algebra -- Data processing
Artificial intelligence
Computer graphics
Computer vision
Computer aided design
Math Applications in Computer Science
Symbolic and Algebraic Manipulation
Artificial Intelligence (incl. Robotics)
Image Processing and Computer Vision
Computer-Aided Engineering (CAD, CAE) and Design
Classificazione LOC: QA448.D38 G85 2012
Creatori/Collaboratori: Bærentzen, Jakob Andreas
Contenuto supplementare: Includes bibliographical references and index.
Nota di contenuto: Part 1. Mathematical Preliminaries -- Vector Spaces, Affine Spaces, and Metric Spaces -- Differential Geometry -- Finite Difference Methods for Partial Differential Equations -- Introduction -- Part 2. Computational Geometry Processing -- Polygonal Meshes -- Splines -- Subdivision -- Curvature in Triangle Meshes -- Mesh Smoothing and Variational Subdivision -- Parametrization of Meshes -- Simplifying and Optimizing Triangle Meshes -- Spatial Data Indexing and Point Location -- Convex Hulls -- Triangle Mesh Generation: Delaunay Triangulation -- 3D Surface Registration via Iterative Closest Point (ICP) -- Surface Reconstruction using Radial Basis Functions -- Volumetric Methods for Surface Reconstruction and Manipulation -- Isosurface Polygonization.
Restrizioni accesso: Access is restricted to users affiliated with licensed institutions.
Sommario/riassunto: Optical scanning is rapidly becoming ubiquitous. From industrial laser scanners to medical CT, MR and 3D ultrasound scanners, numerous organizations now have easy access to optical acquisition devices that provide huge volumes of image data. However, the raw geometry data acquired must first be processed before it is useful. This Guide to Computational Geometry Processing 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. This is balanced with an introduction to the theoretical and mathematical underpinnings of each technique, enabling the reader to not only implement a given method, but also to understand the ideas behind it, its limitations and its advantages. Topics and 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 equationsReviews geometry representations, including polygonal meshes, splines, and subdivision surfacesExamines techniques for computing curvature from polygonal meshesDescribes algorithms for mesh smoothing, mesh parametrization, and mesh optimization and simplificationDiscusses point location databases and convex hulls of point setsInvestigates the reconstruction of triangle meshes from point clouds, including methods for registration of point clouds and surface reconstructionProvides additional material at a supplementary websiteIncludes self-study exercises throughout the textGraduate students will find this text a valuable, hands-on guide to developing key skills in geometry processing. The book will also serve as a useful reference for professionals wishing to improve their competency in this area.
Lingua: English.
ISBN: 9781447140757
1447140753
1447140745
9781447140740
Formato: Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione: Inglese
Record Nr.: 004623061
Localizzazioni e accesso elettronico https://ebookcentral.proquest.com/lib/nyulibrary-ebooks/detail.action?docID=973475
Collocazione: Electronic access
Lo trovi qui: New York University
Altra ed. diverso supporto: Print version: Bærentzen, Jakob Andreas. Guide to Computational Geometry Processing : Foundations, Algorithms, and Methods. Dordrecht : Springer, ©2012 9781447140740