• DocumentCode
    1442876
  • Title

    Decomposition of Complex Line Drawings with Hidden Lines for 3D Planar-Faced Manifold Object Reconstruction

  • Author

    Liu, Jianzhuang ; Chen, Yu ; Tang, Xiaoou

  • Author_Institution
    Dept. of Inf. Eng., Chinese Univ. of Hong Kong, Hong Kong, China
  • Volume
    33
  • Issue
    1
  • fYear
    2011
  • Firstpage
    3
  • Lastpage
    15
  • Abstract
    Three-dimensional object reconstruction from a single 2D line drawing is an important problem in computer vision. Many methods have been presented to solve this problem, but they usually fail when the geometric structure of a 3D object becomes complex. In this paper, a novel approach based on a divide-and-conquer strategy is proposed to handle the 3D reconstruction of a planar-faced complex manifold object from its 2D line drawing with hidden lines visible. The approach consists of four steps: 1) identifying the internal faces of the line drawing, 2) decomposing the line drawing into multiple simpler ones based on the internal faces, 3) reconstructing the 3D shapes from these simpler line drawings, and 4) merging the 3D shapes into one complete object represented by the original line drawing. A number of examples are provided to show that our approach can handle 3D reconstruction of more complex objects than previous methods.
  • Keywords
    computational geometry; computer vision; divide and conquer methods; hidden feature removal; image reconstruction; image representation; object recognition; 2D line drawing; 3D planar faced manifold object reconstruction; 3D shape; complex line drawing; computer vision; divide and conquer strategy; hidden line; internal face; object representation; Computer graphics; Computer vision; Engineering drawings; Image databases; Image reconstruction; Labeling; Merging; Object recognition; Shape; Solid modeling; 3D reconstruction; divide and conquer; internal face; line drawing; manifold.; Algorithms; Artificial Intelligence; Computer-Aided Design; Image Enhancement; Image Processing, Computer-Assisted; Imaging, Three-Dimensional; Pattern Recognition, Automated;
  • fLanguage
    English
  • Journal_Title
    Pattern Analysis and Machine Intelligence, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0162-8828
  • Type

    jour

  • DOI
    10.1109/TPAMI.2010.49
  • Filename
    5432194