Computational imaging, relighting and depth sensing using flexible thin-film sensors

Significance Statement

Imaging has transformed from the use of photosensitive films to computational methods, which allow for several novel imaging systems. For instance, coded aperture with new reconstruction approaches actualize flat camera designs. New materials have enabled the design of scalable, flexible, as well as transparent thin-film sensors. Enhanced single-pixel cameras are spatial-temporal illumination and compressive sensing enabled. Computational reconstruction approaches have been applied using a wide range of raw data from various sensors, and have been noted to allow for advanced image processing, for instance, light fields refocusing.

In a recent paper published in Optics Express, Professor Oliver Bimber and Dr. Alexander Koppelhuber a post-doctoral fellow at Johannes Kepler University Linz in Austria presented a model and reconstruction approaches for computational imaging using flexible optical sensors. The model and the methods could also be applied for depth reconstruction as well as relighting. The proposed sensors consisted of a luminescent concentrator. A luminescent concentrator is a flexible transparent foil which is doped with fluorescent dyes.

The authors adopted a luminescent concentrator foil prototype which was fixed on a transparent support cylinder. They cut aperture structure at the concentrator edge and the center hole into the foil. Polymethylmethacrylat multi-modal optical fibers were employed to direct the integrated light signal from every aperture to photodetectors at scan cameras for direct measurements. The team implemented a spatial light modulator to project the speckle patterns.

Light of predetermined spectral sub-band scattered from the cylinder onto the luminescent concentrator was absorbed and consequently emitted at larger wavelengths by the fluorescent dye particles in the concentrator foil. The light was then moved to the concentrator edges by total internal reflection. They were able to record the transported light via an elementary aperture cut into the concentrator material, within a small integration angle at varying positions and directions along the edges of the foil.

Via a hole in the concentrator foil, the researchers illuminated the cylinder with a series of speckle patterns from a micromirror device spatial modulator. The authors, from light back-scattering measurements, were able to reconstruct the cylinder images as observed from the modulator for various lighting conditions. The outcomes of the study paved way for computational relighting as well as depth reconstruction from shading.

The developed apertures had an advantage over the single pixel detectors in the sense that, as opposed to the latter that collect light via a narrow aperture, the former received light over a wider solid angle as well as a large area over the concentrator foil. This yielded high signal-to-noise ratio, which did not demand sensitive photodetectors.

The authors managed to raise the signal-to-noise ratio of photo sensors through the implementation of the luminescent concentrators. The use of luminescent concentrators comes with some benefits; light collection can be multiplexed over a number of overlapping integration areas to enable reconstruction of a number of lighting conditions while performing a few parallel measurements. In the future, the team will focus on improving signal-to-noise ratio as well as reconstruction quality.

Computational imaging, relighting and depth sensing using flexible thin-film sensors - advances in engineering

About the author

Oliver Bimber is a Professor in Computer Science and head of the Institute of Computer Graphics at Johannes Kepler University Linz, Austria. He received a Ph.D. in Engineering from Darmstadt University of Technology, Germany, and a Habilitation degree in Computer Science at Munich University of Technology. Bimber worked as a senior researcher at the Fraunhofer Center for Research in Computer Graphics in Providence, RI/USA, and was a scientist at the Fraunhofer Institute for Computer Graphics in Rostock, Germany. Earlier affiliations include the IBM T.J. Watson Research Center (New York, USA), the Dundalk Institute of Technology (Dundalk, Ireland), and the University of Applied Science Giessen (Giessen, Germany).

Bimber co-authored the book “Displays: Fundamentals and Applications” with Rolf R. Hainich and the book “Spatial Augmented Reality” with Ramesh Raskar (MIT). His research interests include visual computing and optics in the context of next-generation display and imaging technologies.

About the author

Alexander Koppelhuber is a post-doc at JKU’s Institute of Computer Graphics. The LumiConSense project was his Ph.D. research, and was funded by Microsoft Research. His research interest include image processing, sampling, optics, and machine learning.

References

Alexander Koppelhuber and Oliver Bimber. Computational imaging, relighting and depth sensing using flexible thin-film sensors. Opt. Express 25(3), 2694-2702, 2017.

Faculty of Engineering and Natural Sciences, Johannes Kepler University Linz, Altenberger Strasse 69, 4040 Linz, Austria.

Go To Optics Express 

 

Bimber, O. and Koppelhuber, A. Towards a Flexible, Scalable, and Transparent Thin-Film Camera, Proceedings of the IEEE, 105(5), pp. 960-969 ,2017.

Koppelhuber, A. and Bimber, O.,Multi-exposure color imaging with stacked thin-film luminescent concentrators, Opt. Express, 23(26), pp. 33713-33720, 2015.

Koppelhuber, A. and Bimber, O., A classification sensor based on compressed optical Radon transform, Opt. Express, 23(7), 9397-9406, 2015.

Koppelhuber, A., Fanello, S., Birklbauer, C., Schedl, D., Izadi, S. and Bimber, O., Enhanced learning-based imaging with thin-film luminescent concentrators, Opt. Express, 22(24), 29531-29543, 2014.

Koppelhuber, A., Birklbauer, C., Izadi, S., and Bimber, O., A transparent thin-film sensor for multi-focal image reconstruction and depth estimation, Opt. Express 22(8), 8928-8942, 2014.

Koppelhuber, A., Bimber, O., Towards a transparent, flexible, scalable and disposable image sensor using thin-film luminescent concentrators, Opt. Express 21(4), 4796-4810 (2013).

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