• DocumentCode
    1515622
  • Title

    Registration of multiple overlapping range images: scenes without distinctive features

  • Author

    Kamgar-Parsi, Behrooz ; Jones, Jeffrey L. ; Rosenfeld, Azriel

  • Author_Institution
    Center for Autom. Res., Maryland Univ., College Park, MD, USA
  • Volume
    13
  • Issue
    9
  • fYear
    1991
  • fDate
    9/1/1991 12:00:00 AM
  • Firstpage
    857
  • Lastpage
    871
  • Abstract
    A scheme is developed to register range images in an environment where distinctive features are scarce. Another issue addressed here is conflicting situations that may arise from pair-wise registration of multiple overlapping range images whether or not they contain distinctive features. There can be two causes for this: (a) error in individual registrations or (b) compression or bending in range images. The authors develop a scheme for resolving such conflicts for the case where range images share a common reference surface, i.e. when the transformation matrix between two overlapping images involves only three components: two translations and one rotation. The authors implemented this scheme to map the floor of the ocean, where the range data is obtained by a multibeam echo-sounder system installed aboard a sailing ship producing multiple overlapping range images. The system developed is the first automated system for correctly registered mapping of the ocean floor; it is efficient and robust
  • Keywords
    data compression; pattern recognition; picture processing; compression; image registration; multiple overlapping range images; ocean floor mapping; pair-wise registration; pattern recognition; picture processing; transformation matrix; Automation; Cost function; Data mining; Image coding; Image registration; Layout; Marine vehicles; Oceans; Robustness; Sea surface;
  • fLanguage
    English
  • Journal_Title
    Pattern Analysis and Machine Intelligence, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0162-8828
  • Type

    jour

  • DOI
    10.1109/34.93805
  • Filename
    93805