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Khan, Usman; Terchi, Abdelaziz; Lim, Sungwoo; Wright, David and Qin, Sheng-Feng
(2006).
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
- Depositing User
- Sungwoo Lim