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Shape Distinction for 3D Object Retrieval - Algorithms to Improve Three Dimensional ShapeRetrieval by Identifying and Focusing on DistinctiveRegions
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Shape Distinction for 3D Object Retrieval - Algorithms to Improve Three Dimensional ShapeRetrieval by Identifying and Focusing on DistinctiveRegions - Livres de poche

2008, ISBN: 9783639091434

[ED: Taschenbuch / Paperback], [PU: VDM Verlag Dr. Müller], In recent years, there has been enormous growth in the number of 3D models and their availability to a wide segment of the population. Examples include the National Design Repository which stores 3D computer-aided design (CAD) models, the Protein Data Bank (PDB) that has atomic positions for protein molecules, and the Princeton Shape Benchmark with thousands of everyday objects represented as polygonal surface models. With the availability of free interactive tools for creating 3D models and graphics cards for home computers, we can expect 3D data to become ever more widely available. The first contribution of this research is an analysis technique to select the most important or distinctive regions of an object. Our approach identifies regions of a surface that have shape consistent with objects of the same type and different from objects of other types. The second contribution is a new methodology to analyze shape retrieval methods with a common data set of classified 3D models and software tools called the Princeton Shape Benchmark. This text should be especially useful to researchers in computer graphics, computer vision, CAD, and information retrieval., [SC: 0.00], Neuware, gewerbliches Angebot, H: 220mm, B: 150mm, T: 9mm, [GW: 248g]

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Shape Distinction for 3D Object Retrieval - Shilane Philip
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Shilane Philip:

Shape Distinction for 3D Object Retrieval - nouveau livre

ISBN: 9783639091434

ID: df943aab09d37701a5635119a5148e33

Algorithms to Improve Three Dimensional ShapeRetrieval by Identifying and Focusing on DistinctiveRegions In recent years, there has been enormous growth inthe number of 3D models and their availability to awide segment of the population. Examples include theNational Design Repository which stores 3Dcomputer-aided design (CAD) models, the Protein DataBank (PDB) that has atomic positions for proteinmolecules, and the Princeton Shape Benchmark withthousands of everyday objects represented aspolygonal surface models. With the availability offree interactive tools for creating 3D models andgraphics cards for home computers, we can expect 3Ddata to become ever more widely available. The first contribution of this research is ananalysis technique to select the most important ordistinctive regions of an object. Our approachidentifies regions of a surface that have shapeconsistent with objects of the same type anddifferent from objects of other types. The secondcontribution is a new methodology to analyze shaperetrieval methods with a common data set ofclassified 3D models and software tools called thePrinceton Shape Benchmark. This text should be especially useful toresearchers in computer graphics, computer vision,CAD, and information retrieval. Bücher / Fachbücher / Informatik 978-3-639-09143-4, [PU: VDM Verlag Dr. Müller, Saarbrücken]

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Shape Distinction for 3D Object Retrieval - Shilane Philip
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Shilane Philip:
Shape Distinction for 3D Object Retrieval - nouveau livre

ISBN: 9783639091434

ID: 117108057

In recent years, there has been enormous growth inthe number of 3D models and their availability to awide segment of the population. Examples include theNational Design Repository which stores 3Dcomputer-aided design (CAD) models, the Protein DataBank (PDB) that has atomic positions for proteinmolecules, and the Princeton Shape Benchmark withthousands of everyday objects represented aspolygonal surface models. With the availability offree interactive tools for creating 3D models andgraphics cards for home computers, we can expect 3Ddata to become ever more widely available. The first contribution of this research is ananalysis technique to select the most important ordistinctive regions of an object. Our approachidentifies regions of a surface that have shapeconsistent with objects of the same type anddifferent from objects of other types. The secondcontribution is a new methodology to analyze shaperetrieval methods with a common data set ofclassified 3D models and software tools called thePrinceton Shape Benchmark. This text should be especially useful toresearchers in computer graphics, computer vision,CAD, and information retrieval. Algorithms to Improve Three Dimensional ShapeRetrieval by Identifying and Focusing on DistinctiveRegions Buch (fremdspr.) Bücher>Fachbücher>Informatik, [PU: VDM Verlag Dr. Müller, Saarbrücken]

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Shape Distinction for 3D Object Retrieval - Philip Shilane
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Philip Shilane:
Shape Distinction for 3D Object Retrieval - nouveau livre

ISBN: 9783639091434

ID: a878fc2aa94c6a135a74f668ae3d294c

In recent years, there has been enormous growth in, [PU: VDM Verlag Dr. Müller, Saarbrücken]

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Shape Distinction for 3D Object Retrieval
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Shape Distinction for 3D Object Retrieval - nouveau livre

ISBN: 9783639091434

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In recent years, there has been enormous growth in, [PU: VDM Verlag Dr. Müller, Saarbrücken]

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Détails sur le livre
Shape Distinction for 3D Object Retrieval
Auteur:

Shilane Philip

Titre:

Shape Distinction for 3D Object Retrieval

ISBN:

9783639091434

In recent years, there has been enormous growth in the number of 3D models and their availability to a wide segment of the population. Examples include the National Design Repository which stores 3D computer-aided design (CAD) models, the Protein Data Bank (PDB) that has atomic positions for protein molecules, and the Princeton Shape Benchmark with thousands of everyday objects represented as polygonal surface models. With the availability of free interactive tools for creating 3D models and graphics cards for home computers, we can expect 3D data to become ever more widely available. The first contribution of this research is an analysis technique to select the most important or distinctive regions of an object. Our approach identifies regions of a surface that have shape consistent with objects of the same type and different from objects of other types. The second contribution is a new methodology to analyze shape retrieval methods with a common data set of classified 3D models and software tools called the Princeton Shape Benchmark. This text should be especially useful to researchers in computer graphics, computer vision, CAD, and information retrieval.

Informations détaillées sur le livre - Shape Distinction for 3D Object Retrieval


EAN (ISBN-13): 9783639091434
ISBN (ISBN-10): 3639091434
Livre de poche
Date de parution: 2008
Editeur: VDM Verlag
176 Pages
Poids: 0,280 kg
Langue: ger/Deutsch

Livre dans la base de données depuis 14.05.2009 09:23:33
Livre trouvé récemment le 30.12.2016 10:09:46
ISBN/EAN: 9783639091434

ISBN - Autres types d'écriture:
3-639-09143-4, 978-3-639-09143-4

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