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3D meta model generation with application in 3D object retrieval

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


Mao, Xiaoyang (Ed.) ; Association for Computing Machinery -ACM-; Association for Computing Machinery -ACM-, Special Interest Group on Computer Graphics and Interactive Techniques -SIGGRAPH-:
CGI 2017, Computer Graphics International Conference. Proceedings : Yokohama, Japan, June 27 - 30, 2017
New York: ACM, 2017 (ACM International Conference Proceedings Series 1368)
ISBN: 978-1-4503-5228-4
Art. 6
Computer Graphics International Conference (CGI) <34, 2017, Yokohama>
Fraunhofer IGD ()
procedural modeling; generative modeling; parametric modeling; 3D object retrieval; Guiding Theme: Visual Computing as a Service; Research Area: Computer graphics (CG)

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.