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)

    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.
    Original languageEnglish
    Title of host publicationNeural Information Processing
    PublisherSpringer
    Pages651-660
    Volume4233
    ISBN (Electronic)978-3-540-46482-2
    ISBN (Print)978-3-540-46481-5
    DOIs
    Publication statusPublished - 2006

    Publication series

    NameLecture Notes in Computer Science
    PublisherSpringer
    Volume4233

    Keywords

    • neural networks
    • freeform surfaces
    • sketch-based interfaces

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