2D Sketch Based Recognition of 3D freeform Shape by Using the RBF Neural Network

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dc.contributor.authorQin, S. F.en_US
dc.contributor.authorSun, Guangminen_US
dc.contributor.authorWright, D. K.en_US
dc.contributor.authorLim, S.en_US
dc.contributor.authorKhan, U.en_US
dc.contributor.authorMao, C.en_US
dc.contributor.editorJoaquim Armando Pires Jorge and Takeo Igarashien_US
dc.date.accessioned2014-01-27T18:26:20Z
dc.date.available2014-01-27T18:26:20Z
dc.date.issued2005en_US
dc.description.abstractThis paper presents a novel free-form surface recognition method from 2D freehand sketching. The approach is based on the Radial basis function (RBF), an artificial intelligence technique. A simple three-layered network has been designed and constructed. After training and testing with two types of surfaces (four sided boundary surfaces and four close section surfaces), it has been shown that the method is useful in freeform surface recognition. The testing results are very satisfactory.en_US
dc.description.seriesinformationEurographics Workshop on Sketch-Based Interfaces and Modelingen_US
dc.identifier.isbn3-905673-30-4en_US
dc.identifier.issn1812-3503en_US
dc.identifier.urihttps://doi.org/10.2312/SBM/SBM05/119-126en_US
dc.publisherThe Eurographics Associationen_US
dc.subjectCategories and Subject Descriptors (according to ACM CSS): H.5.2 [Information Interfaces and Presentation]: Graphical user interfaces (GUI); I.2.10 [Artificial Intelligence]: surface modelling.en_US
dc.title2D Sketch Based Recognition of 3D freeform Shape by Using the RBF Neural Networken_US
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SBM05: Sketch Based Interfaces and Modeling 2005