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Shape Estimation of Transparent Objects by Using Inverse Polarization Ray Tracing
November 2007 (vol. 29 no. 11)
pp. 2018-2030
ASCII Text
x 
 
Daisuke Miyazaki, Katsushi Ikeuchi, "Shape Estimation of Transparent Objects by Using Inverse Polarization Ray Tracing," IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 29, no. 11, pp. 2018-2030, November, 2007.
 
 
BibTex
x
 
@article{ 10.1109/TPAMI.2007.1117,
author = {Daisuke Miyazaki and Katsushi Ikeuchi},
title = {Shape Estimation of Transparent Objects by Using Inverse Polarization Ray Tracing},
journal ={IEEE Transactions on Pattern Analysis and Machine Intelligence},
volume = {29},
number = {11},
issn = {0162-8828},
year = {2007},
pages = {2018-2030},
doi = {http://doi.ieeecomputersociety.org/10.1109/TPAMI.2007.1117},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - JOUR
JO - IEEE Transactions on Pattern Analysis and Machine Intelligence
TI - Shape Estimation of Transparent Objects by Using Inverse Polarization Ray Tracing
IS - 11
SN - 0162-8828
SP2018
EP2030
EPD - 2018-2030
A1 - Daisuke Miyazaki,
A1 - Katsushi Ikeuchi,
PY - 2007
KW - Polarization
KW - Raytracing
KW - Shape-from-X
KW - Transparency
KW - Mueller calculus
VL - 29
JA - IEEE Transactions on Pattern Analysis and Machine Intelligence
ER -
 
Few methods have been proposed to measure three-dimensional shapes of transparent objects such as those made of glass and acrylic. In this paper, we propose a novel method for estimating the surface shapes of transparent objects by analyzing the polarization state of the light. Existing methods do not fully consider the reflection, refraction, and transmission of the light occurring inside a transparent object. We employ a polarization raytracing method to compute both the path of the light and its polarization state. Polarization raytracing is a combination of conventional raytracing, which calculates the trajectory of light rays, and Mueller calculus, which calculates the polarization state of the light. First, we set an initial value of the shape of the transparent object. Then, by changing the shape, the method minimizes the difference between the input polarization data and the rendered polarization data calculated by polarization raytracing. Finally, after the iterative computation is converged, the shape of the object is obtained. We also evaluate the method by measuring some real transparent objects.

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Index Terms:
Polarization, Raytracing, Shape-from-X, Transparency, Mueller calculus
Citation:
Daisuke Miyazaki, Katsushi Ikeuchi, "Shape Estimation of Transparent Objects by Using Inverse Polarization Ray Tracing," IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 29, no. 11, pp. 2018-2030, Nov. 2007, doi:10.1109/TPAMI.2007.1117
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