Shape and Refractive Index Recovery from Single-View Polarisation Images

被引:67
作者
Huynh, Cong Phuoc [1 ]
Robles-Kelly, Antonio [1 ,2 ]
Hancock, Edwin [3 ]
机构
[1] Australian Natl Univ, Sch Engn, Canberra, ACT 0200, Australia
[2] Natl ICT Australia, Canberra, ACT 2601, Australia
[3] Univ York, Dept Comp Sci, York YO10 5DD, North Yorkshire, England
来源
2010 IEEE CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION (CVPR) | 2010年
基金
澳大利亚研究理事会;
关键词
MATERIAL CLASSIFICATION;
D O I
10.1109/CVPR.2010.5539828
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
In this paper, we propose an approach to the problem of simultaneous shape and refractive index recovery from multispectral polarisation imagery captured from a single viewpoint. The focus of this paper is on dielectric surfaces which diffusely polarise light transmitted from the dielectric body into the air. The diffuse polarisation of the reflection process is modelled using a Transmitted Radiance Sinusoid curve and the Fresnel transmission theory. We provide a method of estimating the azimuth angle of surface normals from the spectral variation of the phase of polarisation. Moreover, to render the problem of simultaneous estimation of surface orientation and index of refraction well-posed, we enforce a generative model on the material dispersion equations for the index of refraction. This generative model, together with the Fresnel transmission ratio, permit the recovery of the index of refraction and the zenith angle simultaneously. We show results on shape recovery and rendering for real world and synthetic imagery.
引用
收藏
页码:1229 / 1236
页数:8
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