• DocumentCode
    2424449
  • Title

    Binocular Stereo Matching Algorithm for Wide Baseline Based on Stable Extremal Regions

  • Author

    Li Zhu-lin ; Zhao Zong-tao ; Zhang Hong-lei ; Ma Yan

  • Author_Institution
    Xi´an Res. Inst. of Hi-Tech., Xian
  • Volume
    3
  • fYear
    2007
  • fDate
    24-27 Aug. 2007
  • Firstpage
    528
  • Lastpage
    532
  • Abstract
    Stereo matching with regions is a master method for binocular image matching of wide baseline. It is most difficult that extracting invariant region. Stable extremal region(SER) is proposed in this paper, and its extracting algorithm. To magnify the intensity change and identify its edge easily, the exponent transform has been used. Then, the affine invariant moments of SER and the Euclid-distance between the region and another are computed using in measuring similarity. The experiment result show the extremal points locate accurately, the SER are stable, and correspondence regions are exact, it is improved to 70.9%.
  • Keywords
    affine transforms; computational geometry; edge detection; image matching; stereo image processing; Euclidean distance; affine invariant moment; binocular stereo image matching algorithm; edge detection; epipolar geometry; exponent transform; image intensity change; stable extremal region extraction algorithm; Abstracts; Cities and towns; Computer science; Detectors; Erbium; Image edge detection; Image matching; Image reconstruction; Image segmentation; Stability;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Fuzzy Systems and Knowledge Discovery, 2007. FSKD 2007. Fourth International Conference on
  • Conference_Location
    Haikou
  • Print_ISBN
    978-0-7695-2874-8
  • Type

    conf

  • DOI
    10.1109/FSKD.2007.205
  • Filename
    4406294