Freeform surface induction from projected planar curves via neural networks*

Usman Khan, Abdelaziz Terchi, Sungwoo Lim, David Wright, Sheng Feng Qin

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Citation (Scopus)

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.

Original languageEnglish
Title of host publicationESANN 2006 Proceedings - European Symposium on Artificial Neural Networks
Publisherd-side publication
Pages641-646
Number of pages6
ISBN (Electronic)2930307064, 9782930307060
Publication statusPublished - 1 Jan 2006
Externally publishedYes
Event14th European Symposium on Artificial Neural Networks, ESANN 2006 - Bruges, Belgium
Duration: 26 Apr 200628 Apr 2006

Publication series

NameESANN 2006 Proceedings - European Symposium on Artificial Neural Networks

Conference

Conference14th European Symposium on Artificial Neural Networks, ESANN 2006
CountryBelgium
CityBruges
Period26/04/0628/04/06

Fingerprint Dive into the research topics of 'Freeform surface induction from projected planar curves via neural networks*'. Together they form a unique fingerprint.

Cite this