3D Meta Model Generation with Application in 3D Object Retrieval

Roman Getto, Johannes Merz, Arjan Kuijper, Dieter W. Fellner

Publikation: Beitrag in Buch/Bericht/KonferenzbandBeitrag in einem Konferenzband

Abstract

In the application of 3D object retrieval we search for 3D objects similar to a given query object. When a user searches for a certain class of objects like 'planes' the results can be unsatisfying: Many object variations are possible for a single class and not all of them are covered with one or a few example objects. We propose a meta model representation which corresponds to a procedural model with meta-parameters. Changing the meta-parameters leads to different variations of a 3D object. For the meta model generation a single object is constructed with a modeling tool. We automatically extract a procedural representation of the object. By inserting metaparameters we generate our meta model. The meta model defines a whole object class. The user can choose a meta model and search for all objects similar to any instance of the meta model to retrieve all objects of a certain class from a 3D object database. We show that the retrieval precision is signifcantly improved using the meta model as retrieval query.
Originalspracheundefiniert/unbekannt
TitelCGI 2017. Proceedings of the Computer Graphics International Conference
Herausgeber (Verlag)Association of Computing Machinery
Seiten6
Seitenumfang1
DOIs
PublikationsstatusVeröffentlicht - 2017

Publikationsreihe

NameACM International Conference Proceedings Series (ICPS); 1368
Herausgeber (Verlag)ACM, New York

Fields of Expertise

  • Information, Communication & Computing

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