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Computational Imaging on the Electric Grid
AbstractNight beats with alternating current (AC) illumination. By passively sensing this beat, we reveal new scene information which includes: the type of bulbs in the scene, the phases of the electric grid up to city scale, and the light transport matrix. This information yields unmixing of reflections and semi-reflections, nocturnal high dynamic range, and scene rendering with bulbs not observed during acquisition. The latter is facilitated by a database of bulb response functions for a range of sources, which we collected and provide. To do all this, we built a novel coded-exposure high-dynamic-range imaging technique, specifically designed to operate on the grid's AC lighting.
Related Material
[pdf] [supp] [video][bibtex]@InProceedings{Sheinin_2017_CVPR,
author = {Sheinin, Mark and Schechner, Yoav Y. and Kutulakos, Kiriakos N.},
title = {Computational Imaging on the Electric Grid},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {July},
year = {2017}
}
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