• DocumentCode
    595547
  • Title

    A comprehensive polarisation model for surface orientation recovery

  • Author

    Lichi Zhang ; Hancock, Edwin R.

  • Author_Institution
    Dept. of Comput. Sci., Univ. of York, York, UK
  • fYear
    2012
  • fDate
    11-15 Nov. 2012
  • Firstpage
    3791
  • Lastpage
    3794
  • Abstract
    In this paper a polarisation model which predicts surface reflection as a function of refractive index and angle of incidence is introduced. We present the underlying physics of polarisation which is based on the Fresnel theory and Malus´ law. The proposed model can be used to recover the shape of the objects for images taken under polarised light. The traditional way of shape recovery using diffuse polarisation is inaccurate due to noise in the degree of polarisation (DOP) measurements, computed from images captured under unpolarised light, which are small at most locations on the surface. The proposed model improves results as the DOP values are relatively larger in polarised light, we present a number of experimental results to demonstrate.
  • Keywords
    Fresnel diffraction; image reconstruction; light polarisation; reflection; refractive index; DOP measurements; DOP values; Fresnel theory; Malus law; comprehensive polarisation model; degree of polarisation measurements; diffuse polarisation; object shape recovery; polarised light; refractive index function; surface orientation recovery; surface reflection prediction; Azimuth; Computational modeling; Computer vision; Estimation; Noise; Shape; Surface treatment;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Pattern Recognition (ICPR), 2012 21st International Conference on
  • Conference_Location
    Tsukuba
  • ISSN
    1051-4651
  • Print_ISBN
    978-1-4673-2216-4
  • Type

    conf

  • Filename
    6460990