3D Freeform Surfaces from Planar Sketches Using Neural Networks

Usman Khan, Abdelaziz Terchi, Sungwoo Lim, David Wright, Sheng-feng Qin

Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review

2 Citations (Scopus)


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.
Original languageEnglish
Title of host publicationNeural Information Processing
ISBN (Electronic)978-3-540-46482-2
ISBN (Print)978-3-540-46481-5
Publication statusPublished - 2006

Publication series

NameLecture Notes in Computer Science

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