• DocumentCode
    2214317
  • Title

    Complexity analysis of ATR algorithms based on invariants

  • Author

    Arnold, D. Gregory ; Sturtz, Kirk

  • Author_Institution
    Target Recognition Branch, Air Force Res. Lab., OH, USA
  • fYear
    2000
  • fDate
    2000
  • Firstpage
    27
  • Lastpage
    36
  • Abstract
    Research in the calculation and exploitation of geometric object/image relations suggests new approaches to automatic target recognition (ATR). The resulting conceptual advances have efficiently solved the geometry problem and have transformed the ATR problem into a correspondence problem. This paper provides an analysis of the elementary algorithms which exploit object/image relations as a basis for object recognition. The goal is to develop an understanding for the critical components to address for developing a practical system. 3D laser radar is used as an example
  • Keywords
    computational complexity; image matching; object recognition; optical radar; radar imaging; 3D laser radar; ATR algorithms; automatic target recognition; complexity analysis; correspondence problem; geometric object/image relations; geometry problem; invariants; object recognition; Aerospace electronics; Algorithm design and analysis; Electrical capacitance tomography; Geometry; Image analysis; Image recognition; Kirk field collapse effect; Object recognition; Sensor phenomena and characterization; Target recognition;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Vision Beyond the Visible Spectrum: Methods and Applications, 2000. Proceedings. IEEE Workshop on
  • Conference_Location
    Hilton Head, SC
  • Print_ISBN
    0-7695-0640-2
  • Type

    conf

  • DOI
    10.1109/CVBVS.2000.855247
  • Filename
    855247