Enhanced learning-based imaging with thin-film luminescent concentrators

A. Koppelhuber; S. Fanello; C. Birklbauer; D.C. Schedl; S. Izadi; Oliver Bimber

doi:10.1364/OE.22.029531

Enhanced learning-based imaging with thin-film luminescent concentrators

A. Koppelhuber, S. Fanello, C. Birklbauer, D.C. Schedl, S. Izadi, Oliver Bimber

Research output: Contribution to journal › Article › peer-review

12 Citations (Scopus)

Abstract

Lumi Con Sense, a transparent, flexible, scalable, and disposable thin-film image sensor has the potential to lead to new human-computer interfaces that are unconstrained in shape and sensing-distance. In this article we make four new contributions: (1) A new real-time image reconstruction method that results in a significant enhancement of image quality compared to previous approaches; (2) the efficient combination of image reconstruction and shift-invariant linear image processing operations; (3) various hardware and software prototypes which, realize the above contributions, demonstrating the current potential of our sensor for real-time applications; and finally, (4) a further higher quality offline reconstruction algorithm.

Original language	English
Pages (from-to)	29531-29543
Number of pages	13
Journal	Optics Express
Volume	22
Issue number	24
DOIs	https://doi.org/10.1364/OE.22.029531
Publication status	Published - 1 Dec 2014
Externally published	Yes

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abstract = "Lumi Con Sense, a transparent, flexible, scalable, and disposable thin-film image sensor has the potential to lead to new human-computer interfaces that are unconstrained in shape and sensing-distance. In this article we make four new contributions: (1) A new real-time image reconstruction method that results in a significant enhancement of image quality compared to previous approaches; (2) the efficient combination of image reconstruction and shift-invariant linear image processing operations; (3) various hardware and software prototypes which, realize the above contributions, demonstrating the current potential of our sensor for real-time applications; and finally, (4) a further higher quality offline reconstruction algorithm.",

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AU - Birklbauer, C.

AU - Schedl, D.C.

AU - Izadi, S.

AU - Bimber, Oliver

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AB - Lumi Con Sense, a transparent, flexible, scalable, and disposable thin-film image sensor has the potential to lead to new human-computer interfaces that are unconstrained in shape and sensing-distance. In this article we make four new contributions: (1) A new real-time image reconstruction method that results in a significant enhancement of image quality compared to previous approaches; (2) the efficient combination of image reconstruction and shift-invariant linear image processing operations; (3) various hardware and software prototypes which, realize the above contributions, demonstrating the current potential of our sensor for real-time applications; and finally, (4) a further higher quality offline reconstruction algorithm.

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Enhanced learning-based imaging with thin-film luminescent concentrators

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