• DocumentCode
    3019167
  • Title

    A Quasi-Minimal Model for Paper-Like Surfaces

  • Author

    Perriollat, Mathieu ; Bartoli, Adrien

  • Author_Institution
    LASMEA -CNRS / UBP Clermont-Ferrand, Clermont-Ferrand
  • fYear
    2007
  • fDate
    17-22 June 2007
  • Firstpage
    1
  • Lastpage
    7
  • Abstract
    Smoothly bent paper-like surfaces are developable. They are however difficult to minimally parameterize since the number of meaningful parameters is intrinsically dependent on the actual deformation. Previous generative models are either incomplete, i.e. limited to subsets of developable surfaces, or depend on huge parameter sets. We propose a generative model governed by a quasi-minimal set of intuitive parameters, namely rules and angles. More precisely, a flat mesh is bent along guiding rules, while a number of extra rules controls the level of smoothness. The generated surface is guaranteed to be developable. A fully automatic multi-camera three dimensional reconstruction algorithm, including model-based bundle-adjustment, demonstrates our model on real images.
  • Keywords
    image reconstruction; bent paper-like surfaces; flat mesh; guiding rules; model-based bundle-adjustment; multicamera 3D reconstruction algorithm; quasi-minimal model; Automatic control; Cameras; Computer vision; Cost function; Face detection; Linear approximation; Principal component analysis; Reconstruction algorithms; Surface fitting; Surface reconstruction;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Vision and Pattern Recognition, 2007. CVPR '07. IEEE Conference on
  • Conference_Location
    Minneapolis, MN
  • ISSN
    1063-6919
  • Print_ISBN
    1-4244-1179-3
  • Electronic_ISBN
    1063-6919
  • Type

    conf

  • DOI
    10.1109/CVPR.2007.383356
  • Filename
    4270354