Title
Freeform surface induction from projected planar curves via neural networks
Abstract
We propose a novel intelligent approach into 2D to 3D of on-line sketching in conceptual design. A Multilayer Perceptron (MLP) neural network is employed to construct 3D freeform surfaces from 2D freehand curves. Planar curves were used to represent the boundary strokes of a freeform surface patch and varied iteratively to produce a training set. Sampled curves were used to train and test the network. The results obtained demonstrate that the network successfully leaned the inverse-projection map and correctly inferred respective surfaces from curves previously unencountered.
Year
Venue
Keywords
2006
ESANN
neural network,conceptual design,multilayer perceptron
Field
DocType
Citations 
Training set,Conceptual design,Pattern recognition,Computer science,2D to 3D conversion,Planar,Multilayer perceptron neural network,Artificial intelligence,Artificial neural network,Machine learning
Conference
0
PageRank 
References 
Authors
0.34
6
5
Name
Order
Citations
PageRank
Usman Khan111.37
Abdelaziz Terchi211.03
Sungwoo Lim311.03
David Wright492.23
Sheng Feng Qin5286.24