• DocumentCode
    757695
  • Title

    3-D corridor modeling from a single view under natural lighting conditions

  • Author

    Shakunaga, Takeshi

  • Author_Institution
    NTT Human Interface Labs., Tokyo, Japan
  • Volume
    14
  • Issue
    2
  • fYear
    1992
  • fDate
    2/1/1992 12:00:00 AM
  • Firstpage
    293
  • Lastpage
    298
  • Abstract
    The author discusses the modeling of a 3-D indoor scene from a single view using a generic object model. It is assumed that an image is made by a well-calibrated camera, and that the camera height above the floor is known. The image is assumed to be a projection of a natural corridor scene from which a generic model is known, but the specific model is unknown. This system can model any corridor that satisfies the following conditions: (1) the corridor is a rectangular parallelepiped, (2) there are several lines along each axis of the rectangle parallelepiped, (3) there are not many parallel lines in directions other than along the principal axes, and (4) corridor height is within a known range. The system for 3-D modeling from a single view of such a corridor consists of a robust bottom-up image processing part and a top-down, model-based interpretation part. Experimental results show that specific corridor models can be recovered from a single view with an approximately 1% estimation error
  • Keywords
    computer vision; pattern recognition; picture processing; 3D corridor scene; 3D indoor scene modelling; bottom-up image processing; camera; computer vision; generic object model; model-based interpretation; pattern recognition; rectangular parallelepiped; single view analysis; Cameras; Image analysis; Image processing; Layout; Mathematical model; Optical reflection; Power system modeling; Robustness; Solid modeling; Three dimensional displays;
  • fLanguage
    English
  • Journal_Title
    Pattern Analysis and Machine Intelligence, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0162-8828
  • Type

    jour

  • DOI
    10.1109/34.121796
  • Filename
    121796