Vai al contenuto principale della pagina
Creatore: 

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

Link to work: 
Guide to computational geometry processing

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 termUncontrolled:  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  
ComputerAided 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  
ComputerAided Engineering (CAD, CAE) and Design  
Termine d'indicizzazioneOccupazione:  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  
ComputerAided 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 selfstudy exercises throughout the textGraduate students will find this text a valuable, handson 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/nyulibraryebooks/detail.action?docID=973475 
Collocazione:  Electronic access 
Lo trovi qui:  New York University 