• DocumentCode
    3487929
  • Title

    Qualitatively describing objects using spatial prepositions

  • Author

    Abella, A. ; Kender, John R.

  • Author_Institution
    Dept. of Comput. Sci., Columbia Univ., New York, NY, USA
  • fYear
    1993
  • fDate
    34134
  • Firstpage
    33
  • Lastpage
    38
  • Abstract
    The paper presents a framework for a system that describes objects in a qualitative fashion. A subset of spatial prepositions is chosen and an appropriate quantification is applied to each of them that capture their inherent qualitative properties. The quantifications use such object attributes as area, centers, and elongation properties. The familiar zeroth, first, and second order moments are used to characterize these attributes. The paper details how and why the particular quantifications were chosen. Since spatial prepositions are by their nature rather vague and dependent on context a technique for fuzzifying the definition of the spatial preposition is explained. Finally an example task is chosen to illustrate the appropriateness of the quantification techniques
  • Keywords
    computational geometry; image recognition; natural languages; spatial reasoning; area; centers; elongation properties; object attributes; qualitative properties; spatial prepositions; Bicycles; Computational modeling; Computer science; Encoding; Natural languages; Shape; Tail;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Qualitative Vision, 1993., Proceedings of IEEE Workshop on
  • Conference_Location
    New York City, NY
  • Print_ISBN
    0-8186-3692-0
  • Type

    conf

  • DOI
    10.1109/WQV.1993.262952
  • Filename
    262952