• DocumentCode
    870140
  • Title

    Identifying faces in a 2D line drawing representing a manifold object

  • Author

    Liu, Jianzhuang ; Lee, Yong Tsui ; Cham, Wai-Kuen

  • Author_Institution
    Dept. of Inf. Eng., Chinese Univ. of Hong Kong, Shatin, China
  • Volume
    24
  • Issue
    12
  • fYear
    2002
  • fDate
    12/1/2002 12:00:00 AM
  • Firstpage
    1579
  • Lastpage
    1593
  • Abstract
    A straightforward way to illustrate a 3D model is to use a line drawing. Faces in a 2D line drawing provide important information for reconstructing its 3D geometry. Manifold objects belong to a class of common solids and most solid systems are based on manifold geometry. In this paper, a new method is proposed for finding faces from single 2D line drawings representing manifolds. The face identification is formulated based on a property of manifolds: each edge of a manifold is shared exactly by two faces. The two main steps in our method are (1) searching for cycles from a line drawing and (2) searching for faces from the cycles. In order to speed up the face identification procedure, a number of properties, most of which relate to planar manifold geometry in line drawings, are presented to identify most of the cycles that are or are not real faces in a drawing, thus reducing the number of unknown cycles in the second searching. Schemes to deal with manifolds with curved faces and manifolds each represented by two or more disjoint graphs are also proposed. The experimental results show that our method can handle manifolds previous methods can handle, as well as those they cannot.
  • Keywords
    computational geometry; face recognition; graph theory; solid modelling; 2D line drawing; 3D geometry; 3D model; disjoint graphs; experimental results; face identification; manifold geometry; manifold object representation; Algorithm design and analysis; Computer Society; Design automation; Engineering drawings; Image converters; Image databases; Information geometry; Keyboards; Mice; Solid modeling;
  • fLanguage
    English
  • Journal_Title
    Pattern Analysis and Machine Intelligence, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0162-8828
  • Type

    jour

  • DOI
    10.1109/TPAMI.2002.1114850
  • Filename
    1114850