• DocumentCode
    3414809
  • Title

    Three-dimensional road recognition from single two-dimensional image

  • Author

    Yang, Juping ; Ozawa, Shinji

  • Author_Institution
    Dept. of Electr. Eng., Keio Univ., Tokyo, Japan
  • fYear
    1996
  • fDate
    8-9 Apr 1996
  • Firstpage
    101
  • Lastpage
    105
  • Abstract
    A new method to perform three-dimensional road recognition from a single two-dimensional image is proposed. Based on road edges which are characterized by properties of matching points, Euler angles between camera-centered coordinates and edge-centered coordinates can be evaluated and thus the depth information of edge points can be obtained from resultant perspective projections of matching points in the image. In the paper the road segment is assumed as plane and the road width remains invariant, while matching points are defined as edge points with parallel tangent lines which are vertical to the line through the matching points based on the construction of the road. The analysis for the determination of matching points in the image is investigated in detail and a modified algorithm to locate matching points is shown. Experiments are executed on synthetic image data and the results are shown to confirm the validity of the proposed method
  • Keywords
    edge detection; Euler angles; camera-centered coordinates; depth information; edge-centered coordinates; matching points; road edges; road segment; road width; single two-dimensional image; synthetic image data; three-dimensional road recognition; Algorithm design and analysis; Computer vision; Image analysis; Image recognition; Image reconstruction; Image restoration; Image segmentation; Navigation; Parallel processing; Roads;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Image Analysis and Interpretation, 1996., Proceedings of the IEEE Southwest Symposium on
  • Conference_Location
    San Antonio, TX
  • Print_ISBN
    0-7803-3200-8
  • Type

    conf

  • DOI
    10.1109/IAI.1996.493735
  • Filename
    493735