Reflection Component Separation Using Statistical Analysis and Polarisation
We show how to cast the problem of specularity subtraction as blind source separation from polarisation images. We commence by summarizing the relationships between the specular and diffuse reflection components for polarised images. We show how to use singular value decomposition for component separation. In particular, we show how reliable results can be obtained using three images acquired with different polariser angles under diffuse reflection. The proposed method can be used as the preprocessing step in shape from shading, segmentation, reflectance estimation and many other computer vision applications.