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Graph-Based Combinations of Fragment Descriptors for Improved 3D Object Retrieval

Schreck, Tobias and Scherer, Maximilian and Walter, Michael and Bustos, Benjamin and Yoon, Sang Min and Kuijper, Arjan :
Graph-Based Combinations of Fragment Descriptors for Improved 3D Object Retrieval.
In: MMSys '12. ACM, New York
[Conference or Workshop Item] , (2012)

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.

Item Type: Conference or Workshop Item
Erschienen: 2012
Creators: Schreck, Tobias and Scherer, Maximilian and Walter, Michael and Bustos, Benjamin and Yoon, Sang Min and Kuijper, Arjan
Title: Graph-Based Combinations of Fragment Descriptors for Improved 3D Object Retrieval
Language: English
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.

Publisher: ACM, New York
Uncontrolled Keywords: 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
Divisions: Department of Computer Science
Department of Computer Science > Interactive Graphics Systems
Event Title: MMSys '12
Date Deposited: 12 Nov 2018 11:16
DOI: 10.1145/2155555.2155559
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