Schreck, Tobias ; Scherer, Maximilian ; Walter, Michael ; Bustos, Benjamin ; Yoon, Sang Min ; Kuijper, Arjan (2012)
Graph-Based Combinations of Fragment Descriptors for Improved 3D Object Retrieval.
MMSys '12.
doi: 10.1145/2155555.2155559
Konferenzveröffentlichung, Bibliographie
Kurzbeschreibung (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.
| Typ des Eintrags: | Konferenzveröffentlichung |
|---|---|
| Erschienen: | 2012 |
| Autor(en): | Schreck, Tobias ; Scherer, Maximilian ; Walter, Michael ; Bustos, Benjamin ; Yoon, Sang Min ; Kuijper, Arjan |
| Art des Eintrags: | Bibliographie |
| Titel: | Graph-Based Combinations of Fragment Descriptors for Improved 3D Object Retrieval |
| Sprache: | Englisch |
| Publikationsjahr: | 2012 |
| Verlag: | ACM, New York |
| Veranstaltungstitel: | MMSys '12 |
| DOI: | 10.1145/2155555.2155559 |
| Kurzbeschreibung (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. |
| Freie Schlagworte: | Forschungsgruppe Visual Search and Analysis (VISA), Business Field: Visual decision support, Research Area: Semantics in the modeling process, 3D Object retrieval, Similarity search, Descriptors, Descriptor combinations, Effectiveness |
| Fachbereich(e)/-gebiet(e): | 20 Fachbereich Informatik 20 Fachbereich Informatik > Graphisch-Interaktive Systeme |
| Hinterlegungsdatum: | 12 Nov 2018 11:16 |
| Letzte Änderung: | 12 Nov 2018 11:16 |
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