The Resource Guide to Computational Geometry Processing : Foundations, Algorithms, and Methods, by J. Andreas Bærentzen, Jens Gravesen, François Anton, Henrik Aanæs, (electronic resource)

Guide to Computational Geometry Processing : Foundations, Algorithms, and Methods, by J. Andreas Bærentzen, Jens Gravesen, François Anton, Henrik Aanæs, (electronic resource)

Label
Guide to Computational Geometry Processing : Foundations, Algorithms, and Methods
Title
Guide to Computational Geometry Processing
Title remainder
Foundations, Algorithms, and Methods
Statement of responsibility
by J. Andreas Bærentzen, Jens Gravesen, François Anton, Henrik Aanæs
Creator
Contributor
Author
Author
Subject
Language
  • eng
  • eng
Summary
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 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 Graduate 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
http://library.link/vocab/creatorName
Bærentzen, J. Andreas
Dewey number
516.00285
http://bibfra.me/vocab/relation/httpidlocgovvocabularyrelatorsaut
  • 3bepixnppbM
  • t3OtrtxMReI
  • BAzRg9oCmZY
  • ppXTp_gagqg
Language note
English
LC call number
QA76.9.M35
Literary form
non fiction
Nature of contents
dictionaries
http://library.link/vocab/relatedWorkOrContributorName
  • Gravesen, Jens.
  • Anton, François.
  • Aanæs, Henrik.
http://library.link/vocab/subjectName
  • Computer science
  • Algebra
  • Computer graphics
  • Artificial intelligence
  • Computer vision
  • Computer aided design
  • Math Applications in Computer Science
  • Symbolic and Algebraic Manipulation
  • Computer Graphics
  • Artificial Intelligence
  • Image Processing and Computer Vision
  • Computer-Aided Engineering (CAD, CAE) and Design
Label
Guide to Computational Geometry Processing : Foundations, Algorithms, and Methods, by J. Andreas Bærentzen, Jens Gravesen, François Anton, Henrik Aanæs, (electronic resource)
Instantiates
Publication
Note
Description based upon print version of record
Bibliography note
Includes bibliographical references and index
Carrier category
online resource
Carrier category code
  • cr
Content category
text
Content type code
  • txt
Contents
Part I: Mathematical Preliminaries -- Vector Spaces, Affine Spaces, and Metric Spaces -- Differential Geometry -- Finite Difference Methods for Partial Differential Equations -- Part II: 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
Dimensions
unknown
Edition
1st ed. 2012.
Extent
1 online resource (329 p.)
Form of item
online
Isbn
9781447140757
Media category
computer
Media type code
  • c
Other control number
10.1007/978-1-4471-4075-7
Specific material designation
remote
System control number
  • (CKB)3400000000085230
  • (EBL)973475
  • (OCoLC)801364281
  • (SSID)ssj0000695653
  • (PQKBManifestationID)11444189
  • (PQKBTitleCode)TC0000695653
  • (PQKBWorkID)10677270
  • (PQKB)11067941
  • (DE-He213)978-1-4471-4075-7
  • (MiAaPQ)EBC973475
  • (EXLCZ)993400000000085230
Label
Guide to Computational Geometry Processing : Foundations, Algorithms, and Methods, by J. Andreas Bærentzen, Jens Gravesen, François Anton, Henrik Aanæs, (electronic resource)
Publication
Note
Description based upon print version of record
Bibliography note
Includes bibliographical references and index
Carrier category
online resource
Carrier category code
  • cr
Content category
text
Content type code
  • txt
Contents
Part I: Mathematical Preliminaries -- Vector Spaces, Affine Spaces, and Metric Spaces -- Differential Geometry -- Finite Difference Methods for Partial Differential Equations -- Part II: 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
Dimensions
unknown
Edition
1st ed. 2012.
Extent
1 online resource (329 p.)
Form of item
online
Isbn
9781447140757
Media category
computer
Media type code
  • c
Other control number
10.1007/978-1-4471-4075-7
Specific material designation
remote
System control number
  • (CKB)3400000000085230
  • (EBL)973475
  • (OCoLC)801364281
  • (SSID)ssj0000695653
  • (PQKBManifestationID)11444189
  • (PQKBTitleCode)TC0000695653
  • (PQKBWorkID)10677270
  • (PQKB)11067941
  • (DE-He213)978-1-4471-4075-7
  • (MiAaPQ)EBC973475
  • (EXLCZ)993400000000085230

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