• DocumentCode
    1742304
  • Title

    A novel bidirectional framework for control and refinement of area based correlation techniques

  • Author

    Werth, Peter ; Scherer, Stefan

  • Author_Institution
    Erich-Schmid-Inst. for Mater. Sci., Austrian Acad. of Sci., Leoben, Austria
  • Volume
    3
  • fYear
    2000
  • fDate
    2000
  • Firstpage
    730
  • Abstract
    A key issue in performing stereo reconstruction is to find stereo correspondences. For this purpose a novel unified framework for arbitrary area based correlation methods is presented. The commonly neglected problem of ambiguities is addressed and a solution based on relaxation of match candidates is introduced. The method comes with the major benefits of a reverse matching step at almost no extra computational cost. The results of one match direction is used to select match candidates. Then these candidates are correlated backward with a different method. The proposed framework does not require any initial estimations. Experiments are performed on ground truth under varying geometric and varying noise conditions. Finally, the method is compared to a number of well known techniques
  • Keywords
    computer vision; correlation methods; image matching; image reconstruction; stereo image processing; correlation methods; image matching; image reconstruction; reverse matching; stereo image processing; stereo vision; Computational complexity; Computational efficiency; Computer graphics; Correlation; Image matching; Image reconstruction; Materials science and technology; Noise robustness; Stereo image processing; Stereo vision;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Pattern Recognition, 2000. Proceedings. 15th International Conference on
  • Conference_Location
    Barcelona
  • ISSN
    1051-4651
  • Print_ISBN
    0-7695-0750-6
  • Type

    conf

  • DOI
    10.1109/ICPR.2000.903648
  • Filename
    903648