基于散焦的新型键盘设计

Priyanshu Gupta, Tushar Goswamy, Himanshu Kumar, K. Venkatesh
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引用次数: 1

摘要

离焦深度图估计是一种计算机视觉技术,在从2D图像构建3D场景、图像重聚焦和重建3D场景等方面有着广泛的应用。在本文中,我们提出了一种基于离焦深度的键盘检测方法。这款键盘可以与手机、个人电脑和平板电脑等设备集成,可以在普通纸张上打印,也可以在平面上投影。所提出的设计利用测量的离焦以及离焦量与键盘图案之间的预校准关系来推断深度,该深度与笔触的方位角位置一起识别键。由于所提出的设计不需要任何其他硬件,除了单目相机,这使得所提出的方法具有成本效益和可行的便携式键盘解决方案。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Defocus Based Novel Keyboard Design
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.
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