The Resource Guide to computational geometry processing : foundations, algorithms, and methods, Jakob Andreas Bærentzen [and others]
Guide to computational geometry processing : foundations, algorithms, and methods, Jakob Andreas Bærentzen [and others]
Resource Information
The item Guide to computational geometry processing : foundations, algorithms, and methods, Jakob Andreas Bærentzen [and others] represents a specific, individual, material embodiment of a distinct intellectual or artistic creation found in University of Missouri Libraries.This item is available to borrow from 2 library branches.
Resource Information
The item Guide to computational geometry processing : foundations, algorithms, and methods, Jakob Andreas Bærentzen [and others] represents a specific, individual, material embodiment of a distinct intellectual or artistic creation found in University of Missouri Libraries.
This item is available to borrow from 2 library branches.
- 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 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
- Language
- eng
- Extent
- 1 online resource
- Contents
-
- 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
- Part 1.
- 3D Surface Registration via Iterative Closest Point (ICP)
- Surface Reconstruction using Radial Basis Functions
- Volumetric Methods for Surface Reconstruction and Manipulation
- Isosurface Polygonization
- Mathematical Preliminaries
- Vector Spaces, Affine Spaces, and Metric Spaces
- Differential Geometry
- Finite Difference Methods for Partial Differential Equations
- Introduction
- Part 2.
- Computational Geometry Processing
- Isbn
- 9781447140740
- 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
- Jakob Andreas Bærentzen [and others]
- Subject
-
- Algebra -- Data processing.
- Artificial Intelligence (incl. Robotics)
- Artificial intelligence.
- Computer aided design.
- Computer graphics -- Mathematics
- Computer graphics -- Mathematics
- Computer graphics -- Mathematics
- Computer graphics.
- Computer science.
- Computer vision -- Mathematics
- Computer vision.
- Computer-Aided Engineering (CAD, CAE) and Design.
- Geometry -- Data processing
- Geometry -- Data processing
- Geometry -- Data processing
- Image Processing and Computer Vision.
- Informatique
- Math Applications in Computer Science.
- Symbolic and Algebraic Manipulation.
- Language
- 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 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
- Cataloging source
- GW5XE
- Dewey number
- 516.00285
- Index
- index present
- Language note
- English
- LC call number
- QA448.D38
- LC item number
- G85 2012
- Literary form
- non fiction
- Nature of contents
-
- dictionaries
- bibliography
- http://library.link/vocab/relatedWorkOrContributorName
- Bærentzen, Jakob Andreas
- http://library.link/vocab/subjectName
-
- Geometry
- Computer graphics
- Computer vision
- Informatique
- Computer graphics
- Geometry
- Label
- Guide to computational geometry processing : foundations, algorithms, and methods, Jakob Andreas Bærentzen [and others]
- Antecedent source
- unknown
- Bibliography note
- Includes bibliographical references and index
- Carrier category
- online resource
- Carrier category code
-
- cr
- Carrier MARC source
- rdacarrier
- Color
- multicolored
- Content category
- text
- Content type code
-
- txt
- Content type MARC source
- rdacontent
- Contents
-
- 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
- Part 1.
- 3D Surface Registration via Iterative Closest Point (ICP)
- Surface Reconstruction using Radial Basis Functions
- Volumetric Methods for Surface Reconstruction and Manipulation
- Isosurface Polygonization
- Mathematical Preliminaries
- Vector Spaces, Affine Spaces, and Metric Spaces
- Differential Geometry
- Finite Difference Methods for Partial Differential Equations
- Introduction
- Part 2.
- Computational Geometry Processing
- Control code
- 794980682
- Dimensions
- unknown
- Extent
- 1 online resource
- File format
- unknown
- Form of item
- online
- Isbn
- 9781447140740
- Level of compression
- unknown
- Media category
- computer
- Media MARC source
- rdamedia
- Media type code
-
- c
- Other control number
- 10.1007/978-1-4471-4075-7
- Quality assurance targets
- not applicable
- Reformatting quality
- unknown
- Sound
- unknown sound
- Specific material designation
- remote
- System control number
- (OCoLC)794980682
- Label
- Guide to computational geometry processing : foundations, algorithms, and methods, Jakob Andreas Bærentzen [and others]
- Antecedent source
- unknown
- Bibliography note
- Includes bibliographical references and index
- Carrier category
- online resource
- Carrier category code
-
- cr
- Carrier MARC source
- rdacarrier
- Color
- multicolored
- Content category
- text
- Content type code
-
- txt
- Content type MARC source
- rdacontent
- Contents
-
- 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
- Part 1.
- 3D Surface Registration via Iterative Closest Point (ICP)
- Surface Reconstruction using Radial Basis Functions
- Volumetric Methods for Surface Reconstruction and Manipulation
- Isosurface Polygonization
- Mathematical Preliminaries
- Vector Spaces, Affine Spaces, and Metric Spaces
- Differential Geometry
- Finite Difference Methods for Partial Differential Equations
- Introduction
- Part 2.
- Computational Geometry Processing
- Control code
- 794980682
- Dimensions
- unknown
- Extent
- 1 online resource
- File format
- unknown
- Form of item
- online
- Isbn
- 9781447140740
- Level of compression
- unknown
- Media category
- computer
- Media MARC source
- rdamedia
- Media type code
-
- c
- Other control number
- 10.1007/978-1-4471-4075-7
- Quality assurance targets
- not applicable
- Reformatting quality
- unknown
- Sound
- unknown sound
- Specific material designation
- remote
- System control number
- (OCoLC)794980682
Subject
- Algebra -- Data processing.
- Artificial Intelligence (incl. Robotics)
- Artificial intelligence.
- Computer aided design.
- Computer graphics -- Mathematics
- Computer graphics -- Mathematics
- Computer graphics -- Mathematics
- Computer graphics.
- Computer science.
- Computer vision -- Mathematics
- Computer vision.
- Computer-Aided Engineering (CAD, CAE) and Design.
- Geometry -- Data processing
- Geometry -- Data processing
- Geometry -- Data processing
- Image Processing and Computer Vision.
- Informatique
- Math Applications in Computer Science.
- Symbolic and Algebraic Manipulation.
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<div class="citation" vocab="http://schema.org/"><i class="fa fa-external-link-square fa-fw"></i> Data from <span resource="http://link.library.missouri.edu/portal/Guide-to-computational-geometry-processing-/95LDYECStSo/" typeof="Book http://bibfra.me/vocab/lite/Item"><span property="name http://bibfra.me/vocab/lite/label"><a href="http://link.library.missouri.edu/portal/Guide-to-computational-geometry-processing-/95LDYECStSo/">Guide to computational geometry processing : foundations, algorithms, and methods, Jakob Andreas Bærentzen [and others]</a></span> - <span property="potentialAction" typeOf="OrganizeAction"><span property="agent" typeof="LibrarySystem http://library.link/vocab/LibrarySystem" resource="http://link.library.missouri.edu/"><span property="name http://bibfra.me/vocab/lite/label"><a property="url" href="http://link.library.missouri.edu/">University of Missouri Libraries</a></span></span></span></span></div>