• DocumentCode
    1626986
  • Title

    Application of antenna array processing to problems in image understanding

  • Author

    Aghajan, Hamid K. ; Kailath, Thomas

  • Author_Institution
    Dept. of Electr. Eng., Stanford Univ., CA, USA
  • fYear
    1995
  • Firstpage
    303
  • Lastpage
    306
  • Abstract
    A unifying framework for solving several problems in image understanding is proposed based on the exploitation of subspace fitting techniques originally developed for antenna array processing applications. The SLIDE (subspace-based line detection) algorithm is a framework for introducing the concept of subspace fitting into problems in image understanding and computer vision. The basic formulation of SLIDE provides a solution to the problem of multiple line fitting in binary or grayscale images. However, as is shown, its modified versions can be applied to several other image analysis problems
  • Keywords
    array signal processing; computer vision; curve fitting; edge detection; state-space methods; SLIDE algorithm; antenna array processing; binary images; computer vision; grayscale images; image analysis; image understanding; multiple line fitting; subspace fitting techniques; subspace-based line detection; Array signal processing; Chirp; Covariance matrix; Fitting; Frequency; Image motion analysis; Image sensors; Information systems; Laboratories; Sensor arrays;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signals, Systems, and Electronics, 1995. ISSSE '95, Proceedings., 1995 URSI International Symposium on
  • Conference_Location
    San Francisco
  • Print_ISBN
    0-7803-2516-8
  • Type

    conf

  • DOI
    10.1109/ISSSE.1995.497994
  • Filename
    497994