DocumentCode
595547
Title
A comprehensive polarisation model for surface orientation recovery
Author
Lichi Zhang ; Hancock, Edwin R.
Author_Institution
Dept. of Comput. Sci., Univ. of York, York, UK
fYear
2012
fDate
11-15 Nov. 2012
Firstpage
3791
Lastpage
3794
Abstract
In this paper a polarisation model which predicts surface reflection as a function of refractive index and angle of incidence is introduced. We present the underlying physics of polarisation which is based on the Fresnel theory and Malus´ law. The proposed model can be used to recover the shape of the objects for images taken under polarised light. The traditional way of shape recovery using diffuse polarisation is inaccurate due to noise in the degree of polarisation (DOP) measurements, computed from images captured under unpolarised light, which are small at most locations on the surface. The proposed model improves results as the DOP values are relatively larger in polarised light, we present a number of experimental results to demonstrate.
Keywords
Fresnel diffraction; image reconstruction; light polarisation; reflection; refractive index; DOP measurements; DOP values; Fresnel theory; Malus law; comprehensive polarisation model; degree of polarisation measurements; diffuse polarisation; object shape recovery; polarised light; refractive index function; surface orientation recovery; surface reflection prediction; Azimuth; Computational modeling; Computer vision; Estimation; Noise; Shape; Surface treatment;
fLanguage
English
Publisher
ieee
Conference_Titel
Pattern Recognition (ICPR), 2012 21st International Conference on
Conference_Location
Tsukuba
ISSN
1051-4651
Print_ISBN
978-1-4673-2216-4
Type
conf
Filename
6460990
Link To Document