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 Khan | 1 | 1 | 1.37 |
Abdelaziz Terchi | 2 | 1 | 1.03 |
Sungwoo Lim | 3 | 1 | 1.03 |
David Wright | 4 | 9 | 2.23 |
Sheng Feng Qin | 5 | 28 | 6.24 |