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

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 proceeding › Chapter › peer-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 language	English
Title of host publication	Proceedings of the Eurographics Workshop on Sketch-Based Interfaces and Modeling 2005
Editors	Takeo Igarashi, Joaquim Armando Pires Jorge
Place of Publication	Aire-la-Ville
Publisher	The Eurographics Association
Pages	119-126
ISBN (Print)	9783905673302
Publication status	Published - 2005
Event	Eurographics Workshop on Sketch-Based Interfaces and Modeling - Dublin Duration: 1 Jan 2005 → …

Conference

Conference	Eurographics Workshop on Sketch-Based Interfaces and Modeling
Period	1/01/05 → …

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Qin, S., Sun, G., Wright, D., Lim, S., Khan, U., & Mao, C. (2005). 2D sketch based recognition of 3D freeform shape by using the RBF neural network. In T. Igarashi, & J. A. P. Jorge (Eds.), Proceedings of the Eurographics Workshop on Sketch-Based Interfaces and Modeling 2005 (pp. 119-126). The Eurographics Association. http://diglib.eg.org/handle/10.2312/SBM.SBM05.119-126

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title = "2D sketch based recognition of 3D freeform shape by using the RBF neural network",

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.",

author = "Sheng-feng Qin and Guangmin Sun and David Wright and Sungwoo Lim and Usman Khan and Chen Mao",

year = "2005",

language = "English",

isbn = "9783905673302",

pages = "119--126",

editor = "Takeo Igarashi and Jorge, \{Joaquim Armando Pires\}",

booktitle = "Proceedings of the Eurographics Workshop on Sketch-Based Interfaces and Modeling 2005",

publisher = "The Eurographics Association",

note = "Eurographics Workshop on Sketch-Based Interfaces and Modeling ; Conference date: 01-01-2005",

}

Qin, S, Sun, G, Wright, D, Lim, S, Khan, U & Mao, C 2005, 2D sketch based recognition of 3D freeform shape by using the RBF neural network. in T Igarashi & JAP Jorge (eds), Proceedings of the Eurographics Workshop on Sketch-Based Interfaces and Modeling 2005. The Eurographics Association, Aire-la-Ville, pp. 119-126, Eurographics Workshop on Sketch-Based Interfaces and Modeling, 1/01/05. <http://diglib.eg.org/handle/10.2312/SBM.SBM05.119-126>

2D sketch based recognition of 3D freeform shape by using the RBF neural network. / Qin, Sheng-feng; Sun, Guangmin; Wright, David et al.
Proceedings of the Eurographics Workshop on Sketch-Based Interfaces and Modeling 2005. ed. / Takeo Igarashi; Joaquim Armando Pires Jorge. Aire-la-Ville: The Eurographics Association, 2005. p. 119-126.

Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review

TY - CHAP

T1 - 2D sketch based recognition of 3D freeform shape by using the RBF neural network

AU - Qin, Sheng-feng

AU - Sun, Guangmin

AU - Wright, David

AU - Lim, Sungwoo

AU - Khan, Usman

AU - Mao, Chen

PY - 2005

Y1 - 2005

N2 - 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.

AB - 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.

M3 - Chapter

SN - 9783905673302

SP - 119

EP - 126

BT - Proceedings of the Eurographics Workshop on Sketch-Based Interfaces and Modeling 2005

A2 - Igarashi, Takeo

A2 - Jorge, Joaquim Armando Pires

PB - The Eurographics Association

CY - Aire-la-Ville

T2 - Eurographics Workshop on Sketch-Based Interfaces and Modeling

Y2 - 1 January 2005

ER -

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

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