Title :
Simultaneous reflectance estimation and surface shape recovery using polarisation
Author :
Lichi Zhang ; Hancock, Edwin R.
Author_Institution :
Dept. of Comput. Sci., Univ. of York, York, UK
Abstract :
In this paper we develop a practical method for estimating shape and reflectance using only three polarised images. Using polarised light and retro-reflection settings during image acquisition, we separate the diffuse and specular reflectance components using Blind Source Separation without the accurate knowledge of the polariser angle information. Next, we compare the capacities of five chosen reflectance models, and estimate parameters of appropriate models for the two separated components together with their corresponding zenith angles. Finally, we recover surface shape by using a mixture model to match the two zenith angle estimations. We present experiments to demonstrate the validity of the proposed method for a variety of materials, and we show that the proposed method is capable of accurately estimating both shape and reflectance information.
Keywords :
blind source separation; computer vision; light polarisation; light reflection; rendering (computer graphics); retroreflectors; shape recognition; blind source separation; computer graphics; computer vision; diffuse reflectance component; image acquisition; image polarisation; light polarisation; mixture model; parameter estimation; reflectance estimation; retroreflection; specular reflectance component; surface shape recovery estimation; zenith angle estimation; Computational modeling; Estimation; Probabilistic logic; Robustness; Shape; Surface texture;
Conference_Titel :
Pattern Recognition (ICPR), 2012 21st International Conference on
Conference_Location :
Tsukuba
Print_ISBN :
978-1-4673-2216-4