• DocumentCode
    2043493
  • Title

    Distance Measurement in Panorama

  • Author

    Jiang, Zhongding ; Jiang, Nan ; Wang, Yijie ; Zang, Binyu

  • Author_Institution
    Fudan Univ., Shanghai
  • Volume
    6
  • fYear
    2007
  • fDate
    Sept. 16 2007-Oct. 19 2007
  • Abstract
    Computing world distances of scene features from the captured images is a common task in image analysis and scene understanding. Previous projective geometry based methods focus on measuring distance from one single image. Hence, the scope of measurable scene is limited by the field-of-view (FOV) of one single camera. In this paper, we propose one method of measuring distances of line segments in real world scene using panorama representation. With a full view panorama, the scope of measurable scene is increased and can fully cover the sphere of 360 times 360 FOV. With panorama representation, distance of long-range features, which can not be fully captured by a single image, can be measured from the panoramic image. A prototype system called PanoMeasure is developed for enabling user to interactively measure the distances of line segments. Experiments with simulated data and real measurement results verify that the method offers high accuracy.
  • Keywords
    feature extraction; image representation; video cameras; camera field-of-view; image scene understanding; panoramic image representation; projective geometry based method; scene feature distance measurement; Cameras; Distance measurement; Geometry; Image segmentation; Layout; Matrix converters; Mice; Prototypes; Rendering (computer graphics); Ultrasonic variables measurement; distance measurement; panorama;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Image Processing, 2007. ICIP 2007. IEEE International Conference on
  • Conference_Location
    San Antonio, TX
  • ISSN
    1522-4880
  • Print_ISBN
    978-1-4244-1437-6
  • Electronic_ISBN
    1522-4880
  • Type

    conf

  • DOI
    10.1109/ICIP.2007.4379604
  • Filename
    4379604