• DocumentCode
    1974582
  • Title

    Stereoscopic Correspondence without Continuity Assumptions

  • Author

    Petran, Val ; Merat, Frank

  • Author_Institution
    Wyeth Pharm., NC
  • fYear
    0
  • fDate
    0-0 0
  • Firstpage
    21
  • Lastpage
    25
  • Abstract
    This paper summarizes work in progress, focused on construction of an artificial stereoscopic vision system that can solve the correspondence problem, when immersed in environments containing large numbers of depth discontinuities, for example, when presented with views of leafless trees in a snow storm. The work we describe is not even remotely complete. Although we present some promising approaches, analysis, and intermediate preliminary results, there exists much opportunity for additional refinement and exploration
  • Keywords
    computer vision; stereo image processing; artificial stereoscopic vision system; leafless trees; snow storm; stereoscopic correspondence; Cameras; Gray-scale; Image resolution; Layout; Machine vision; Pharmaceuticals; Pixel; Snow; Sparse matrices; Storms;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Image Analysis and Interpretation, 2006 IEEE Southwest Symposium on
  • Conference_Location
    Denver, CO
  • Print_ISBN
    1-4244-0069-4
  • Type

    conf

  • DOI
    10.1109/SSIAI.2006.1633714
  • Filename
    1633714