SHREC'13 Track: Large Scale Sketch-Based 3D Shape Retrieval

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dc.contributor.authorLi, B.en_US
dc.contributor.authorLu, Y.en_US
dc.contributor.authorGodil, A.en_US
dc.contributor.authorSchreck, Tobiasen_US
dc.contributor.authorAono, M.en_US
dc.contributor.authorJohan, H.en_US
dc.contributor.authorSaavedra, J. M.en_US
dc.contributor.authorTashiro, S.en_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.abstractSketch-based 3D shape retrieval has become an important research topic in content-based 3D object retrieval. The aim of this track is to measure and compare the performance of sketch-based 3D shape retrieval methods based on a large scale hand-drawn sketch query dataset which has 7200 sketches and a generic 3D model target dataset containing 1258 3D models. The sketches and models are divided into 80 distinct classes. In this track, 5 runs have been submitted by 3 groups and their retrieval accuracies were evaluated using 7 commonly used retrieval performance metrics. We hope that this benchmark, its corresponding evaluation code, and the comparative evaluation results will contribute to the progress of this research direction for the 3D model retrieval community.en_US
dc.description.sectionheadersSHREC Track Reportsen_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/3DOR13/089-096en_US
dc.publisherThe Eurographics Associationen_US
dc.subjectH.3.3 [Computer Graphics]en_US
dc.subjectInformation Systemsen_US
dc.subjectInformation Search and Retrievalen_US
dc.titleSHREC'13 Track: Large Scale Sketch-Based 3D Shape Retrievalen_US
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