• DocumentCode
    2753507
  • Title

    What is the spectral dimensionality of illumination functions in outdoor scenes?

  • Author

    Slater, David ; Healey, Glenn

  • Author_Institution
    Comput. Vision Lab., California Univ., Irvine, CA, USA
  • fYear
    1998
  • fDate
    23-25 Jun 1998
  • Firstpage
    105
  • Lastpage
    110
  • Abstract
    The spectral properties of outdoor illumination functions can vary significantly due to atmospheric conditions and scene geometry. The authors show using a statistical analysis of a comprehensive physical model that the variation in outdoor illumination functions over both the visible range (0.33 μm-0.7 μm) and the visible/near-infrared range (0.4 μm-2.5 μm) can be represented accurately by use of seven-dimensional linear models. The physical model includes solar and scattered radiation as well as the effects of atmospheric gases and aerosols. The MODTRAN 3.5 code was employed for computing radiative transfer aspects of the model. The authors show that the new model has strong agreement over the visible wavelengths with the empirical study of Judd et al. (1964). The authors also demonstrate the accuracy of the model over the 0.4 μm-2.5 μm spectral range using measured outdoor illumination functions
  • Keywords
    atmospheric optics; computer vision; geophysics computing; infrared spectroscopy; remote sensing; statistical analysis; visible spectroscopy; 0.33 to 2.5 mum; MODTRAN 3.5 code; atmospheric conditions; comprehensive physical model; outdoor illumination functions; outdoor scenes; scene geometry; seven-dimensional linear models; spectral dimensionality; statistical analysis; Aerosols; Atmospheric modeling; Atmospheric waves; Gases; Geometry; Layout; Lighting; Scattering; Statistical analysis; Wavelength measurement;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Vision and Pattern Recognition, 1998. Proceedings. 1998 IEEE Computer Society Conference on
  • Conference_Location
    Santa Barbara, CA
  • ISSN
    1063-6919
  • Print_ISBN
    0-8186-8497-6
  • Type

    conf

  • DOI
    10.1109/CVPR.1998.698595
  • Filename
    698595