Neural network model optimisation for 3D freeform surfaces from sketched curves

Khan, Usman; Terchi, Abdelaziz; Lim, Sungwoo; Wright, David and Qin, Sheng Feng (2006). Neural network model optimisation for 3D freeform surfaces from sketched curves. In: 6th International Conference on Recent Advances in Soft Computing (RASC 2006), 10-12 Jul 2006, Canterbury.

URL: http://uzicorp.zymichost.com/publications_files/RA...

Abstract

The induction of a NURBS freeform surface from an on-line sketch is presented in this paper. This work supports the inference of 3D geometry based on input 2D freehand sketches to support conceptual design. A multi-layer Perceptron (MLP) artificial neural network (ANN) was designed by a series of experiments and implemented to learn the relationship between input sketches and their expected 3D geometry. Experimentation was used to determine the optimal parameters and network architecture. The input data took the format of four constrained boundary strokes and after the ANN had inferred the 3D shape, a complete NURBS serface was generated using an interpolation algorithm.

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About

• Item ORO ID
• 37876
• Item Type
• Conference or Workshop Item
• Keywords
• freeform surfaces; neural networks; on-line sketches; computer-aided design
• Academic Unit or School
• Faculty of Science, Technology, Engineering and Mathematics (STEM) > Physical Sciences
  Faculty of Science, Technology, Engineering and Mathematics (STEM)
• Research Group
• Design and Innovation
  Space
• Copyright Holders
• © 2006 RASC
• Related URLs
• • http://www.allconferences.com/conference...(Other)
• Depositing User
• Sungwoo Lim