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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.

URL: http://link.springer.com/chapter/10.1007/11893257_...
DOI (Digital Object Identifier) Link: https://doi.org/10.1007/11893257_73
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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.

Item Type: Conference or Workshop Item
Copyright Holders: 2006 Springer-Verlag Berlin Heidelberg
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/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
Related URLs:
Item ID: 37877
Depositing User: Sungwoo Lim
Date Deposited: 14 Oct 2013 11:26
Last Modified: 07 Dec 2018 10:16
URI: http://oro.open.ac.uk/id/eprint/37877
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