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dc.contributor.authorScherer, Maximilian
dc.contributor.authorWalter, Michael
dc.contributor.authorSchreck, Tobias
dc.contributor.editorSkala, Václav
dc.identifier.citationWSCG 2010: Full Papers Proceedings: 18th International Conference in Central Europe on Computer Graphics, Visualization and Computer Vision in co-operation with EUROGRAPHICS, p. 41-48.en
dc.description.abstract3D object retrieval has received much research attention during the last years. To automatically determine the similarity between 3D objects, the global descriptor approach is very popular, and many competing methods for extracting global descriptors have been proposed to date. However, no single descriptor has yet shown to outperform all other descriptors on all retrieval benchmarks or benchmark classes. Instead, combinations of different descriptors usually yield improved performance over any single method. Therefore, enhancing the set of candidate descriptors is an important prerequisite for implementing effective 3D object retrieval systems. Inspired by promising recent results from image processing, in this paper we adapt the Histogram of Oriented Gradients (HOG) 2D image descriptor to the 3D domain. We introduce a concept for transferring the HOG descriptor extraction algorithm from 2D to 3D. We provide an implementation framework for extracting 3D HOG features from 3D mesh models, and present a systematic experimental evaluation of the retrieval effectiveness of this novel 3D descriptor. The results show that our 3D HOG implementation provides competitive retrieval performance, and is able to boost the performance of one of the best existing 3D object descriptors when used in a combined descriptor.en
dc.format8 s.cs
dc.publisherVáclav Skala - UNION Agencycs
dc.relation.ispartofseriesWSCG 2010: Full Papers Proceedingsen
dc.rights© Václav Skala - UNION Agencyen
dc.subjectvyhledávání 3D objektůcs
dc.subject3D modelycs
dc.titleHistograms of Oriented Gradients for 3D Object Retrievalen
dc.typekonferenční příspěvekcs
dc.subject.translated3D object retrievalen
dc.subject.translated3D modelsen
Appears in Collections:WSCG 2010: Full Papers Proceedings

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Please use this identifier to cite or link to this item: http://hdl.handle.net/11025/10871

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