• DocumentCode
    2078295
  • Title

    Projective and object space geometry for monocular building extraction

  • Author

    McGlone, J. Chris ; Shufelt, Jefferey A.

  • Author_Institution
    Digital Mapping Lab., Carnegie Mellon Univ., Pittsburgh, PA, USA
  • fYear
    1994
  • fDate
    21-23 Jun 1994
  • Firstpage
    54
  • Lastpage
    61
  • Abstract
    Knowledge about the imaging geometry and acquisition parameters provides useful geometric constraints for the analysis and extraction of man-made features in aerial imagery, particularly in oblique views. We discuss the identification of horizontal and vertical lines in the scene, using image orientation information and vanishing point calculations, and the calculation of their dimensions. The vertical and horizontal attributions are used to constrain the set of possible building hypotheses, and vertical lines are extracted at corners to estimate structure height and permit the generation of three-dimensional building models from monocular views. Results of these techniques are presented for nadir and oblique imagery and evaluated against manually generated 3D ground truth building models
  • Keywords
    cartography; computational geometry; edge detection; feature extraction; 3D ground truth building models; acquisition parameters; aerial imagery; feature analysis; feature extraction; geometric constraints; image orientation; imaging geometry; monocular building extraction; monocular views; object space geometry; projective space geometry; structure height estimation; three-dimensional building models; vanishing point calculation; vertical lines; Feature extraction; Geometric modeling; Image edge analysis; Image orientation analysis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Vision and Pattern Recognition, 1994. Proceedings CVPR '94., 1994 IEEE Computer Society Conference on
  • Conference_Location
    Seattle, WA
  • ISSN
    1063-6919
  • Print_ISBN
    0-8186-5825-8
  • Type

    conf

  • DOI
    10.1109/CVPR.1994.323810
  • Filename
    323810