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dc.contributor.authorHou, Suyuen_US
dc.contributor.authorRamani, Karthiken_US
dc.contributor.editorThomas Stahovich and Mario Costa Sousaen_US
dc.date.accessioned2014-01-27T19:17:13Z
dc.date.available2014-01-27T19:17:13Z
dc.date.issued2006en_US
dc.identifier.isbn3-905673-39-8en_US
dc.identifier.issn1812-3503en_US
dc.identifier.urihttp://dx.doi.org/10.2312/SBM/SBM06/131-138en_US
dc.description.abstractWe present a two-tier sketch-based engineering part retrieval system enhanced with classifier combination. Given a free-hand user sketch, we propose to use an ensemble of classifiers to estimate the likelihood of the sketch belonging to each category by exploring the strengths of individual classifiers. This supports high quality part retrieval by motivating user feedback with a ranked list of top choices. Three shape descriptors have been used to generate the probability-based classifiers independently. Experiments are conducted using the Engineering Shape Benchmark database in order to evaluate the selected combination rules before we integrate the best rule for sketch classification. User studies with the system show that users can easily identify the desired groups and then the parts. In addition, the precision attained using the synthesis is better than results from independent classifiers when applied to both user sketches and 3D models.en_US
dc.publisherThe Eurographics Associationen_US
dc.subjectCategories and Subject Descriptors (according to ACM CCS): I.3.6 Interaction techniques, I.5.4 Applicationen_US
dc.titleSketch-based 3D Engineering Part Class Browsing and Retrievalen_US
dc.description.seriesinformationEurographics Workshop on Sketch-Based Interfaces and Modelingen_US


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