• DocumentCode
    1142119
  • Title

    Efficient Polyhedral Modeling from Silhouettes

  • Author

    Franco, Jean-Sébastien ; Boyer, Edmond

  • Author_Institution
    LaBRI CNRS-INRIA Sud-Ouest-Equipe IPARLA, Talence
  • Volume
    31
  • Issue
    3
  • fYear
    2009
  • fDate
    3/1/2009 12:00:00 AM
  • Firstpage
    414
  • Lastpage
    427
  • Abstract
    Modeling from silhouettes is a popular and useful topic in computer vision. Many methods exist to compute the surface of the visual hull from silhouettes, but few address the problem of ensuring good topological properties of the surface, such as manifoldness. This article provides an efficient algorithm to compute such a surface in the form of a polyhedral mesh. It relies on a small number of geometric operations to compute a visual hull polyhedron in a single pass. Such simplicity enables the algorithm to combine the advantages of being fast, producing pixel-exact surfaces, and repeatably yield manifold and watertight polyhedra in general experimental conditions with real data, as verified with all datasets tested. The algorithm is fully described, its complexity analyzed and modeling results given.
  • Keywords
    computational complexity; computational geometry; computer vision; mesh generation; solid modelling; surface fitting; computational complexity; computer vision; geometric operation; polyhedral mesh; silhouette polyhedral modeling; topological property; visual hull surface; 3D/stereo scene analysis; Computer vision; Modeling from video; Vision and Scene Understanding; Algorithms; Artificial Intelligence; Computer Simulation; Image Enhancement; Image Interpretation, Computer-Assisted; Imaging, Three-Dimensional; Models, Theoretical; Pattern Recognition, Automated; Reproducibility of Results; Sensitivity and Specificity;
  • fLanguage
    English
  • Journal_Title
    Pattern Analysis and Machine Intelligence, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0162-8828
  • Type

    jour

  • DOI
    10.1109/TPAMI.2008.104
  • Filename
    4497206