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Shape Distinction for 3D Object Retrieval - Shilane Philip
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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
Vergriffenes Buch, derzeit bei uns nicht verfügbar.
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Shilane Philip:

Shape Distinction for 3D Object Retrieval - neues Buch

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

ISBN: 9783639091434

ID: 72474649a22b073518fe5b5becef9642

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, VDM Verlag

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

Shilane Philip

Titel:

Shape Distinction for 3D Object Retrieval

ISBN-Nummer:

3639091434

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.

Detailangaben zum Buch - Shape Distinction for 3D Object Retrieval


EAN (ISBN-13): 9783639091434
ISBN (ISBN-10): 3639091434
Taschenbuch
Erscheinungsjahr: 2008
Herausgeber: VDM Verlag
176 Seiten
Gewicht: 0,280 kg
Sprache: ger/Deutsch

Buch in der Datenbank seit 14.05.2009 09:23:33
Buch zuletzt gefunden am 28.10.2016 12:16:46
ISBN/EAN: 3639091434

ISBN - alternative Schreibweisen:
3-639-09143-4, 978-3-639-09143-4

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