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Graph-based combinations of fragment descriptors for improved 3D object retrieval

 
: Schreck, Tobias; Scherer, Maximilian; Walter, Michael; Bustos, Benjamin; Yoon, Sang Min; Kuijper, Arjan

:

Claypool, M. ; Association for Computing Machinery -ACM-, Special Interest Group on Multimedia -SIGMM-; Association for Computing Machinery -ACM-, Special Interest Group on Data Communication -SIGCOMM-; Association for Computing Machinery -ACM-, Special Interest Group on Mobility of Systems, Users, Data and Computing; Association for Computing Machinery -ACM-, Special Interest Group on Operating Systems -SIGOPS-:
MMSys 2012, 3rd Multimedia Systems Conference. Proceedings : Held in Scottsdale, Arizona on February 22-23, 2010
New York: ACM, 2012
ISBN: 978-1-4503-1131-1
pp.23-28
Multimedia Systems Conference (MMSys) <3, 2012, Chapel Hill/NC>
English
Conference Paper
Fraunhofer IGD ()
3D object retrieval; similarity search; descriptors; Forschungsgruppe Visual Search and Analysis (VISA)

Abstract
3D Object Retrieval is an important field of research with many application possibilities. One of the main goals in this research is the development of discriminative methods for similarity search. The descriptor-based approach to date has seen a lot of research attention, with many different extraction algorithms proposed. In previous work, we have introduced a simple but effective scheme for 3D model retrieval based on a spatially fixed combination of 3D object fragment descriptors.
In this work, we propose a novel flexible combination scheme based on finding the best matching fragment descriptors to use in the combination. By an exhaustive experimental evaluation on established benchmark data we show the capability of the new combination scheme to provide improved retrieval effectiveness. The method is proposed as a versatile and inexpensive method to enhance the effectiveness of a given global 3D descriptor approach.

: http://publica.fraunhofer.de/documents/N-205416.html