3D Freeform Surfaces from Planar Sketches using Neural Networks

Khan, Usman; Terchi, Abdelaziz; Lim, Sungwoo; Wright, David and Qin, Sheng-Feng (2006). 3D Freeform Surfaces from Planar Sketches using Neural Networks. In: Neural Information Processing, 13th International Conference, ICONIP 2006, Part II, 3-6 Oct 2006, Hong Kong, China, Springer Berlin / Heidelberg, pp. 651–660.

DOI: https://doi.org/10.1007/11893257_73

URL: http://link.springer.com/chapter/10.1007/11893257_...

Abstract

A novel intelligent approach into 3D freeform surface reconstruction from planar sketches is proposed. A multilayer perceptron (MLP) neural network is employed to induce 3D freeform surfaces from planar freehand curves. Planar curves were used to represent the boundaries of a freeform surface patch. The curves were varied iteratively and sampled to produce training data to train and test the neural network. The obtained results demonstrate that the network successfully learned the inverse-projection map and correctly inferred the respective surfaces from fresh curves.

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About

• Item ORO ID
• 37877
• Item Type
• Conference or Workshop Item
• ISBN
• 3-540-46481-6, 978-3-540-46481-5
• ISSN
• 0302-9743
• Extra Information
• Lecture Notes in Computer Science, Vol. 4233
  Theoretical Computer Science and General Issues
  Editors: Irwin King, Jun Wang, Lai-Wan Chan, DeLiang Wang
• Keywords
• neural networks; freeform surfaces; sketch-based interfaces
• 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 Springer-Verlag Berlin Heidelberg
• Related URLs
• • http://www.springer.com/computer/theoret...(Other)
• Depositing User
• Sungwoo Lim