PASCAL - Pattern Analysis, Statistical Modelling and Computational Learning

Reflection Component Separation Using Statistical Analysis and Polarisation
Lichi Zhang, Edwin Hancock and Gary Atkinson
In: Pattern Recognition and Image Analysis - 5th Iberian Conference,IbPRIA 2011, June 8-10, 2011, Las Palmas de Gran Canaria, Spain.


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.

EPrint Type:Conference or Workshop Item (Paper)
Project Keyword:Project Keyword UNSPECIFIED
Subjects:Machine Vision
ID Code:8533
Deposited By:Edwin Hancock
Deposited On:13 February 2012