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Shape Distinction for 3D Object Retrieval - Algorithms to Improve Three Dimensional ShapeRetrieval by Identifying and Focusing on DistinctiveRegions - Shilane, Philip
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Shilane, Philip:
Shape Distinction for 3D Object Retrieval - Algorithms to Improve Three Dimensional ShapeRetrieval by Identifying and Focusing on DistinctiveRegions - Taschenbuch

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., DE, [SC: 0.00], Neuware, gewerbliches Angebot, H: 220mm, B: 150mm, T: 9mm, 176, [GW: 248g], Selbstabholung und Barzahlung, PayPal, offene Rechnung, Banküberweisung, Internationaler Versand

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Shape Distinction for 3D Object Retrieval - Algorithms to Improve Three Dimensional ShapeRetrieval by Identifying and Focusing on DistinctiveRegions
Vergriffenes Buch, derzeit bei uns nicht verfügbar.
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Shape Distinction for 3D Object Retrieval - Algorithms to Improve Three Dimensional ShapeRetrieval by Identifying and Focusing on DistinctiveRegions - Taschenbuch

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

ISBN: 9783639091434

ID: a878fc2aa94c6a135a74f668ae3d294c

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 / Naturwissenschaften, Medizin, Informatik & Technik / Informatik & EDV, [PU: VDM Verlag Dr. Müller, Saarbrücken]

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Shape Distinction for 3D Object Retrieval Algorithms to Improve Three Dimensional Shape Retrieval by Identifying and Focusing on Distinctive Regions - Shilane Philip
Vergriffenes Buch, derzeit bei uns nicht verfügbar.
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Shilane Philip:
Shape Distinction for 3D Object Retrieval Algorithms to Improve Three Dimensional Shape Retrieval by Identifying and Focusing on Distinctive Regions - neues Buch

2008, ISBN: 3639091434

ID: A6241345

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

ISBN: 9783639091434

ID: a878fc2aa94c6a135a74f668ae3d294c

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

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Details zum Buch
Shape Distinction for 3D Object Retrieval

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 19.12.2017 05:07:42
ISBN/EAN: 3639091434

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


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