Separation of Diffuse and Specular Components of Surface Reflection by Use of Polarization and Statistical Analysis of Images
Issue No. 05 - May (2004 vol. 26)
Shinji Umeyama , IEEE Computer Society
Guy Godin , IEEE
<p><b>Abstract</b>—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.</p>
Probabilistic independence, mutual information, independent component analysis, diffuse reflection, specular reflection, polarization-based methods.
G. Godin and S. Umeyama, "Separation of Diffuse and Specular Components of Surface Reflection by Use of Polarization and Statistical Analysis of Images," in IEEE Transactions on Pattern Analysis & Machine Intelligence, vol. 26, no. , pp. 639-647, 2004.