NDLI: Self-Calibrating Imaging Polarimetry

Content Provider	IEEE Xplore Digital Library
Author	Schechner, Y.Y.
Copyright Year	2015
Description	Author affiliation: Dept. Electr. Eng., Technion - Israel Inst. of Technol., Haifa, Israel (Schechner, Y.Y.)
Abstract	To map the polarization state (Stokes vector) of objects in a scene, images are typically acquired using a polarization filter (analyzer), set at different orientations. Usually these orientations are assumed to be all known. Often, however, the angles are unknown: most photographers manually rotate the filter in coarse undocumented angles. Deviations in motorized stages or remote-sensing equipment are caused by device drift and environmental changes. This work keeps the simplicity of uncontrolled uncalibrated photography, and still extracts from the photographs accurate polarimetry. This is achieved despite unknown analyzer angles and the objects' Stokes vectors. The paper derives modest conditions on the data size, to make this task well-posed and even over-constrained. The paper then proposes an estimation algorithm, and tests it in real experiments. The algorithm demonstrates high accuracy, speed, simplicity and robustness to strong noise and other signal disruptions.
Starting Page	1
Ending Page	10
File Size	1148962
Page Count	10
File Format	PDF
ISBN	9781479986675
DOI	10.1109/ICCPHOT.2015.7168374
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2015-04-24
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Photography Cameras Polarimetry Calibration Optimization Lenses
Content Type	Text
Resource Type	Article

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