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2D Sketch based recognition of 3D freeform shapes by using the RBF Neural Network
Conference proceeding

2D Sketch based recognition of 3D freeform shapes by using the RBF Neural Network

S. F. Qin, Guangmin Sun, D. K. Wright, S. Lim, U. Khan and C. Mao
Proceedings of EUROGRAPHICS Workshop on Sketch-Based Interfaces and Modelling, pp.119-126
2005

Abstract

sketch recognition graphical user interfaces surface modelling
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.
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http://bura.brunel.ac.uk/handle/2438/2568View
Published (Version of record)Available via Brunel University Research Archive (BURA)

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