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A defocus based novel keyboard design
P. Gupta, T. Goswamy, , K.S. Venkatesh
Published in Institute of Electrical and Electronics Engineers Inc.
2019
Abstract
Depth map estimation from Defocus is a computer vision technique which has wide applications such as constructing the 3D setup from 2D image(s), image refocusing and reconstructing 3D scenes. In this paper, we propose an application of Depth from Defocus to a novel keyboard design for detecting keystrokes. The proposed keyboard can be integrated with devices such as mobile, PC and tablets and can be generated by either printing on plain paper or by projection on a flat surface. The proposed design utilizes measured defocus together with a precalibrated relation between the defocus amount and the keyboard pattern to infer the depth, which, along with the azimuth position of the stroke identifies the key. As the proposed design does not require any other hardware besides a monocular camera, this makes the proposed approach a cost effective and feasible solution for a portable keyboard. © 2019 IEEE.