title: Enhanced learning-based imaging with thin-film luminescent concentrators.
abstract: LumiConSense, 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.
authors.forename: Alexander
authors.initials: A
authors.lastname: Koppelhuber
authors.forename: Sean
authors.initials: S
authors.lastname: Fanello
authors.forename: Clemens
authors.initials: C
authors.lastname: Birklbauer
authors.forename: David
authors.initials: D
authors.lastname: Schedl
authors.forename: Shahram
authors.initials: S
authors.lastname: Izadi
authors.forename: Oliver
authors.initials: O
authors.lastname: Bimber
mesh_terms: D000465:Algorithms; D002138:Calibration; D007091:Image Processing, Computer-Assisted / Q000295:instrumentation*; D049449:Luminescence; D017711:Nonlinear Dynamics; D014054:Tomography