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Please use this identifier to cite or link to this item: http://bura.brunel.ac.uk/handle/2438/2568

Title: 2D sketch based recognition of 3D freeform shape by using the RBF neural network
Authors: Qin, SF
Sun, GM
Wright, DK
Lim, S
Khan, U
Mao, C
Publication Date: 2005
Publisher: Eurographics
Citation: Proceedings of Eurographics Workshop on Sketch Based Interfaces and Modeling. Dublin, 2005.
Abstract: This 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.
URI: http://www.eg.org/DOI/10.2312/SBM/SBM05/119-126
http://bura.brunel.ac.uk/handle/2438/2568
ISSN: 1812-3503
Appears in Collections:Design
School of Engineering and Design Research papers

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