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

Qin, S. F.; Sun, Guangmin; Wright, D. K.; Lim, S.; Khan, U. and Mao, C. (2005). 2D Sketch based recognition of 3D freeform shapes by using the RBF Neural Network. In: Proceedings of EUROGRAPHICS Workshop on Sketch-Based Interfaces and Modelling pp. 119–126.

URL: http://www.ibrarian.net/navon/paper/2D_Sketch_Base...

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.

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About

• Item ORO ID
• 37898
• Item Type
• Conference or Workshop Item
• Extra Information
• EUROGRAPHICS Workshop on Sketch-Based Interfaces and Modeling (2005)
  Takeo Igarashi, Joaquim A. Jorge (Editors)
• Keywords
• sketch recognition; graphical user interfaces; surface modelling
• Academic Unit or School
• Faculty of Science, Technology, Engineering and Mathematics (STEM) > Physical Sciences
  Faculty of Science, Technology, Engineering and Mathematics (STEM)
• Research Group
• Space
• Copyright Holders
• © 2005 The Eurographics Association
• Related URLs
• • https://www.eg.org/index.php/about-eg/wo...(Other)
• Depositing User
• Sungwoo Lim