• DocumentCode
    831577
  • Title

    View variation of point-set and line-segment features

  • Author

    Burns, J.Brian ; Weiss, Richard S. ; Riseman, Edward M.

  • Author_Institution
    Dept. of Comput. & Inf. Sci., Massachusetts Univ., Amherst, MA, USA
  • Volume
    15
  • Issue
    1
  • fYear
    1993
  • fDate
    1/1/1993 12:00:00 AM
  • Firstpage
    51
  • Lastpage
    68
  • Abstract
    The variation, with respect to view, of 2D features defined for projections of 3D point sets and line segments is studied. It is established that general-case view-invariants do not exist for any number of points, given true perspective, weak perspective, or orthographic projection models. Feature variation under the weak perspective approximation is then addressed. Though there are no general-case weak-perspective invariants, there are special-case invariants of practical importance. Those cited in the literature are derived from linear dependence relations and the invariance of this type of relation to linear transformation. The variation with respect to view is studied for an important set of 2D line segment features: the relative orientation, size, and position of one line segment with respect to another. The analysis includes an evaluation criterion for feature utility in terms of view-variation. This relationship is a function of both the feature and the particular configuration of 3D line segments. The use of this information in objection recognition is demonstrated for difficult discrimination tasks
  • Keywords
    feature extraction; image recognition; 2D line segment features; 3D point sets; feature variation; image recognition; view variation; weak perspective approximation; Image recognition; Image segmentation; Information science; Object recognition; Organizing; Surface structures;
  • fLanguage
    English
  • Journal_Title
    Pattern Analysis and Machine Intelligence, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0162-8828
  • Type

    jour

  • DOI
    10.1109/34.184774
  • Filename
    184774