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 KonferenzbandBegutachtung


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.
TitelCGI 2017. Proceedings of the Computer Graphics International Conference
Herausgeber (Verlag)Association of Computing Machinery
PublikationsstatusVeröffentlicht - 2017


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

Fields of Expertise

  • Information, Communication & Computing

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