Overview
 
Night 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.
 
People
 
Mark Sheinin (Technion-Israel Institute of Technology)
Yoav Schechner (Technion-Israel Institute of Technology)
Kiriakos N. Kutulakos (University of Toronto)
 
Related Publication
 
Mark Sheinin, Yoav Y. Schechner and Kiriakos N. Kutulakos, Computational Imaging on the Electric Grid. Proc. IEEE Computer Vision and Pattern Recognition Conference, 2017.   PDF (5.2MB)   
 
 
Supplementary Materials
 
Mark Sheinin, Yoav Y. Schechner and Kiriakos N. Kutulakos, Computational Imaging on the Electric Grid: Supplementary document. Proc. IEEE Computer Vision and Pattern Recognition Conference, 2017.   PDF (1.4MB)   
 
Mark Sheinin, Yoav Y. Schechner and Kiriakos N. Kutulakos, Computational Imaging on the Electric Grid: Supplementary video. Proc. IEEE Computer Vision and Pattern Recognition Conference, 2017.   MP4 (13.9MB)   
 
The DELIGHT Database of Bulb Response Functions ZIP (98.2MB)   
 
 
Acknowledgements
 
This work was supported in part by the Natural Sciences and Engineering Research Council of Canada under the RGPIN and SGP programs, by the Mitacs Canada Israel Globalink Innovation Initiative, by DARPA under the REVEAL program, by the Israel Science Foundation and by the Taub Foundation.
 
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