2D sketch based recognition of 3D freeform shape by using the RBF neural network

Qin, Sheng-feng, Sun, Guangmin, Wright, David, Lim, Sungwoo, Khan, Usman and Mao, Chen (2005) 2D sketch based recognition of 3D freeform shape by using the RBF neural network. In: Proceedings of the Eurographics Workshop on Sketch-Based Interfaces and Modeling 2005. The Eurographics Association, Aire-la-Ville, pp. 119-126. ISBN 9783905673302

Full text not available from this repository. (Request a copy)
Official URL: http://diglib.eg.org/handle/10.2312/SBM.SBM05.119-...


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.

Item Type: Book Section
Subjects: G900 Others in Mathematical and Computing Sciences
W200 Design studies
Depositing User: Ay Okpokam
Date Deposited: 22 Dec 2015 12:17
Last Modified: 24 Oct 2017 08:20
URI: http://nrl.northumbria.ac.uk/id/eprint/25204

Actions (login required)

View Item View Item


Downloads per month over past year

View more statistics

Policies: NRL Policies | NRL University Deposit Policy | NRL Deposit Licence