Paper Info
Title
Inverse polarization raytracing: estimating surface shapes of transparent objects
Abstract
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. Our proposed iterative computation method estimates the surface shape of the transparent object by minimizing the difference between the polarization data rendered by the polarization raytracing method and the polarization data obtained from a real object.
Year
DOI
Venue
2005
10.1109/CVPR.2005.195
Computer Vision and Pattern Recognition, 2005. CVPR 2005. IEEE Computer Society Conference
Keywords
Field
DocType
estimation theory,iterative methods,light polarisation,object recognition,ray tracing,rendering (computer graphics),surface fitting,inverse polarization raytracing,iterative computation method,light polarization raytracing method,light rendering,surface shape estimation,transparent object
Computer vision,Iterative method,Ray tracing (graphics),Computer science,Refraction,Polarization (waves),Inverse problem,Artificial intelligence,Optical polarization,Computation,Cognitive neuroscience of visual object recognition
Conference
Volume
ISSN
ISBN
2
1063-6919
0-7695-2372-2
Citations 
PageRank 
References 
26
1.19
23
Authors
2
Name
Order
Citations
PageRank
Daisuke Miyazaki11759.33
Katsushi Ikeuchi24651881.49