AR Based User Adaptive Compensation of Metamorphopsia

Guido Bozzelli, M. D. Nino, Chiara Pero, S. Ricciardi
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引用次数: 3

Abstract

The increasing diffusion of augmented reality applications, fostered by the commercial availability of see-through enabled head mounted displays, is opening new opportunities to exploit the potential of this technology to aid subjects with visual impairments in their everyday tasks. The capability of showing a corrected version of the visual field by means of real-time processing of a video stream representing the surrounding environment, is the foundation of the proposed method to compensate a serious visual deficit, known as metamorphopsia, resulting in a geometrical deformation of part of the subject's visus. To this regard, we describe an approach for interactive measurement of user's impaired visual biometrics and for real-time compensation or reduction of this deficiency. This goal is achieved by mapping the video streams acquired from the stereoscopic video see-through cameras each onto a 2D polygonal mesh and offsetting its vertices until the correct vision, for each eye, is restored.
基于AR的变形视用户自适应补偿
增强现实应用的日益普及,以及透明头戴式显示器的商业化,为开发这项技术的潜力提供了新的机会,以帮助有视觉障碍的人完成日常任务。通过实时处理代表周围环境的视频流来显示更正版本的视野的能力,是所提出的补偿严重视觉缺陷的方法的基础,称为变形,导致受试者的部分视觉的几何变形。在这方面,我们描述了一种交互式测量用户受损视觉生物特征的方法,并用于实时补偿或减少这种缺陷。这一目标是通过将从立体视频透明摄像头获取的视频流映射到2D多边形网格上,并偏移其顶点,直到每只眼睛恢复正确的视觉来实现的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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