Charge Density-Based 3D Model Retrieval Using Bag-of-Feature

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dc.contributor.authorAlizadeh, Fattahen_US
dc.contributor.authorSutherland, Alistairen_US
dc.contributor.editorUmberto Castellani and Tobias Schreck and Silvia Biasotti and Ioannis Pratikakis and Afzal Godil and Remco Veltkampen_US
dc.date.accessioned2013-09-24T12:04:08Z
dc.date.available2013-09-24T12:04:08Z
dc.date.issued2013en_US
dc.description.abstractAs the number of 3D models is growing on the internet and other domain-specific datasets, the search and retrieval of such models are attracting a lot of attention. A shape descriptor it plays critical roles in the retrieval quality enhancement. In this paper we propose a new robust shape descriptor based on the distribution of charge density on the surface of a 3D model. After calculating the charge density for each triangular face of each model as local features, we utilize the Bag-of-Features framework to perform global matching using the local features. Our experiments on the McGill and PSB datasets show that the proposed descriptor is robust to a variety of modifications and transformations and offers a higher retrieving quality compared to other well-known approaches.en_US
dc.description.sectionheadersShort Papersen_US
dc.description.seriesinformationEurographics Workshop on 3D Object Retrievalen_US
dc.identifier.isbn978-3-905674-44-6en_US
dc.identifier.issn1997-0463en_US
dc.identifier.urihttps://doi.org/10.2312/3DOR/3DOR13/097-100en_US
dc.publisherThe Eurographics Associationen_US
dc.subjectCategories and subject Descriptors (according to ACM CCS)en_US
dc.subjectI.3.5 [Computer graphics]en_US
dc.subjectComputational Geometry and Object Modellingen_US
dc.subjectH3.3 [Information Storage and Retrieval]en_US
dc.subjectInformation Search and Retrieval.en_US
dc.titleCharge Density-Based 3D Model Retrieval Using Bag-of-Featureen_US
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