• DocumentCode
    624531
  • Title

    A comparison of two measurement homographic techniques for aerial imagery

  • Author

    Seang Cau ; Dehghan, Afshin ; Bakhtiari, Majid ; Mehrandezh, Mehran ; Paranjape, Raman

  • fYear
    2013
  • fDate
    5-8 May 2013
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    This paper compares the results of two different homographic techniques for 2-Dimensional measurement of physical distances. Images are taken using a digital camera attached to an unmanned aerial vehicle (UAV).The UAV is flown over a mock accident scene and images of the scene are captured for post flight analysis. The images are analyzed and distances between various points are calculated using two different homographic techniques: geometric triangulation and genetic estimation. Overall, this work is directed at examining the potential to use photogrammetric techniques to measure realistic accident scenes as a tool to augment and support accident scene reconstruction which typically relies on physically measuring distances in the accident scene.
  • Keywords
    accidents; autonomous aerial vehicles; cameras; distance measurement; genetic algorithms; image reconstruction; photogrammetry; remote sensing; UAV; accident scene reconstruction; aerial imagery; digital camera; genetic estimation techniques; geometric triangulation techniques; measurement homographic techniques; mock accident scene; photogrammetric techniques; physical distance measurement; post flight analysis; two-dimensional measurement; unmanned aerial vehicle; Calibration; Cameras; Estimation; Genetic algorithms; Genetics; Measurement uncertainty; 2-Dimensional Geometric Triangulation; Genetic Algorithm; Homography; Image Processing; UAV; Unmanned Aerial Vehicle;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electrical and Computer Engineering (CCECE), 2013 26th Annual IEEE Canadian Conference on
  • Conference_Location
    Regina, SK
  • ISSN
    0840-7789
  • Print_ISBN
    978-1-4799-0031-2
  • Electronic_ISBN
    0840-7789
  • Type

    conf

  • DOI
    10.1109/CCECE.2013.6567827
  • Filename
    6567827