• DocumentCode
    926438
  • Title

    Separation of diffuse and specular components of surface reflection by use of polarization and statistical analysis of images

  • Author

    Umeyama, Shinji ; Godin, Guy

  • Author_Institution
    Neurosci. Inst., Nat. Inst. of Adv. Ind. Sci. & Technol., Tsukuba, Japan
  • Volume
    26
  • Issue
    5
  • fYear
    2004
  • fDate
    5/1/2004 12:00:00 AM
  • Firstpage
    639
  • Lastpage
    647
  • Abstract
    The image of an opaque object is created by observing the reflection of the light incident on its surface. The dichromatic reflection model describes the surface reflection as the sum of two components, diffuse and specular terms. The specular reflection component is usually strong in its intensity and polarized significantly compared to the diffuse components. On the other hand, the intensity of the diffuse component is weak and it tends to be unpolarized except near occluding contours. Thus, the observation of an object through a rotating polarizer approximately yields images containing constant diffuse component and specular component of different intensity. In this paper, we show that diffuse and specular components of surface reflection can be separated as two independent components when we apply independent component analysis to the images observed through a polarizer of different orientations. We give a separation simulation of artificial data and also give some separation results of real scenes.
  • Keywords
    image processing; independent component analysis; light polarisation; light reflection; dichromatic reflection model; diffuse components separation; image analysis; independent component analysis; light polarization; rotating polarizer; specular components separation; statistical analysis; surface reflection; Computer Society; Dielectrics; Independent component analysis; Layout; Light scattering; Light sources; Mutual information; Optical polarization; Optical reflection; Statistical analysis; Algorithms; Artificial Intelligence; Cluster Analysis; Computer Simulation; Diffusion; Image Enhancement; Image Interpretation, Computer-Assisted; Imaging, Three-Dimensional; Information Storage and Retrieval; Models, Biological; Models, Statistical; Numerical Analysis, Computer-Assisted; Pattern Recognition, Automated; Photometry; Principal Component Analysis; Reproducibility of Results; Scattering, Radiation; Sensitivity and Specificity; Signal Processing, Computer-Assisted; Subtraction Technique;
  • fLanguage
    English
  • Journal_Title
    Pattern Analysis and Machine Intelligence, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0162-8828
  • Type

    jour

  • DOI
    10.1109/TPAMI.2004.1273960
  • Filename
    1273960