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

Sheng-feng Qin, Guangmin Sun, David Wright, Sungwoo Lim, Usman Khan, Chen Mao

Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review

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.
Original languageEnglish
Title of host publicationProceedings of the Eurographics Workshop on Sketch-Based Interfaces and Modeling 2005
EditorsTakeo Igarashi, Joaquim Armando Pires Jorge
Place of PublicationAire-la-Ville
PublisherThe Eurographics Association
Pages119-126
ISBN (Print)9783905673302
Publication statusPublished - 2005
EventEurographics Workshop on Sketch-Based Interfaces and Modeling - Dublin
Duration: 1 Jan 2005 → …

Conference

ConferenceEurographics Workshop on Sketch-Based Interfaces and Modeling
Period1/01/05 → …

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