• DocumentCode
    3179576
  • Title

    Dense Correspondence Extraction in Difficult Uncalibrated Scenarios

  • Author

    Lakemond, Ruan ; Fookes, Clinton ; Sridharan, Sridha

  • Author_Institution
    Image & Video Lab., Queensland Univ. of Technol., Brisbane, QLD, Australia
  • fYear
    2009
  • fDate
    1-3 Dec. 2009
  • Firstpage
    53
  • Lastpage
    60
  • Abstract
    The relationship between multiple cameras viewing the same scene may be discovered automatically by finding corresponding points in the two views and then solving for the camera geometry. In camera networks with sparsely placed cameras, low resolution cameras or in scenes with few distinguishable features it may be difficult to find a sufficient number of reliable correspondences from which to compute geometry. This paper presents a method for extracting a larger number of correspondences from an initial set of putative correspondences without any knowledge of the scene or camera geometry. The method may be used to increase the number of correspondences and make geometry computations possible in cases where existing methods have produced insufficient correspondences.
  • Keywords
    cameras; computational geometry; feature extraction; camera geometry; dense correspondence extraction; feature extraction; geometry computations; low resolution cameras; sparsely placed cameras; Computational geometry; Computer applications; Computer networks; Digital cameras; Digital images; Feature extraction; Laboratories; Lakes; Layout; Robustness; dense matching; epipolar geometry; local image features; uncalibrated method;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Digital Image Computing: Techniques and Applications, 2009. DICTA '09.
  • Conference_Location
    Melbourne, VIC
  • Print_ISBN
    978-1-4244-5297-2
  • Electronic_ISBN
    978-0-7695-3866-2
  • Type

    conf

  • DOI
    10.1109/DICTA.2009.19
  • Filename
    5384967