Please use this identifier to cite or link to this item: http://bura.brunel.ac.uk/handle/2438/2337
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dc.contributor.authorKhan, U-
dc.contributor.authorTerchi, A-
dc.contributor.authorLim, S-
dc.contributor.authorWright, D-
dc.contributor.authorQin, S F-
dc.coverage.spatial10en
dc.date.accessioned2008-06-02T14:39:16Z-
dc.date.available2008-06-02T14:39:16Z-
dc.date.issued2006-
dc.identifier.citationThe 13th International Conference on Neural Information Processing, Hong Kong, 3-6 October 2006. pp. 651-660en
dc.identifier.urihttp://bura.brunel.ac.uk/handle/2438/2337-
dc.description.abstractA novel intelligent approach into 3D freeform surface reconstruction from planar sketches is proposed. A multilayer perceptron (MLP) neural network is employed to induce 3D freeform surfaces from planar freehand curves. Planar curves were used to represent the boundaries of a freeform surface patch. The curves were varied iteratively and sampled to produce training data to train and test the neural network. The obtained results demonstrate that the network successfully learned the inverse-projection map and correctly inferred the respective surfaces from fresh curves.en
dc.format.extent390384 bytes-
dc.format.mimetypeapplication/pdf-
dc.language.isoen-
dc.publisherSpringeren
dc.subjectNeural networksen
dc.subjectFreeform surfacesen
dc.subjectSketch-based interfacesen
dc.title3D freeform surfaces from planar sketches using neural networksen
dc.typeConference Paperen
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Brunel Design School Research Papers

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