• DocumentCode
    949399
  • Title

    What the Back of the Object Looks Like: 3D Reconstruction from Line Drawings without Hidden Lines

  • Author

    Cao, Liangliang ; Liu, Jianzhuang ; Tang, Xiaoou

  • Author_Institution
    Univ. of Illinois, Urbana
  • Volume
    30
  • Issue
    3
  • fYear
    2008
  • fDate
    3/1/2008 12:00:00 AM
  • Firstpage
    507
  • Lastpage
    517
  • Abstract
    The human vision system can interpret a single 2D line drawing as a 3D object without much difficulty even if the hidden lines of the object are invisible. Many reconstruction methods have been proposed to emulate this ability, but they cannot recover the complete object if the hidden lines of the object are not shown. This paper proposes a novel approach to reconstructing a complete 3D object, including the shape of the back of the object, from a line drawing without hidden lines. First, we develop theoretical constraints and an algorithm for the inference of the topology of the invisible edges and vertices of an object. Then, we present a reconstruction method based on perceptual symmetry and planarity of the object. We show a number of examples to demonstrate the success of our approach.
  • Keywords
    computational geometry; image reconstruction; 3D object reconstruction; invisible edges topology; invisible vertices topology; line drawings; 3D reconstruction; hidden topology; line drawings; visual perception; Algorithms; Artificial Intelligence; Computer-Aided Design; Image Enhancement; Image Interpretation, Computer-Assisted; Imaging, Three-Dimensional; 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.2007.1185
  • Filename
    4359328