Computational Phase-Modulated Eyeglasses:


Overview of our proposed system. (a) The single phase-only spatial light modulator (PSLM) prototype fpr demonstrating computational glasses. (b) Demonstration of the focus correction with the single PSLM setup where a near-sighted view is corrected by displaying a spherical phase function on the PSLM. (c) Demonstration of a multi-focus function with the single PSLM setup. Rendering different spherical phase functions allows a viewer to focus two objects at different depths simultaneously. (d) A simple image shift is done by displaying a plane wave function on a PSLM. (e) A dual PSLM setup can also provide zooming capability.

Abstract: We present computational phase-modulated eyeglasses, a see-through optical system that modulates the view of the user using phase-only spatial light modulators (PSLM). A PSLM is a programmable reflective device that can selectively retardate, or delay, the incoming light rays. As a result, a PSLM works as a computational dynamic lens device. We demonstrate our computational phase-modulated eyeglasses with either a single PSLM or dual PSLMs and show that the concept can realize various optical operations including focus correction, bi-focus, image shift, and field of view manipulation, namely optical zoom. Compared to other programmable optics, computational phase-modulated eyeglasses have the advantage in terms of its versatility. In addition, we also presents some prototypical focus-loop applications where the lens is dynamically optimized based on distances of objects observed by a scene camera. We further discuss the implementation, applications but also discuss limitations of the current prototypes and remaining issues that need to be addressed in future research.

Acknowledgements: This work is partially supported by the Marsden Fund Council from Government funding and a Catalyst Seed grant, both administered by the Royal Society of NZ, and Callaghan Innovation, host of the Science for Technological Innovation National Science Challenge, Seed Project 52421, and by JST PRESTO Grant Number JPMJPR17J2, Japan.

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