Enhancing Scene Understanding in VR for Visually Impaired Individuals with High-Frame Videos and Event Overlays

Dehao Han, Shijie Yang, Ping Zhao, Xiaoming Chen, Chen Wang, Yuk Ying Chung
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Abstract

Virtual reality (VR) technology has undergone significant development, with various applications of VR gradually integrating into people’s lives, providing them with novel audio-visual experiences. However, visually impaired individuals have faced challenges in utilizing VR due to their impaired motion perception. This paper explores enhancing the scene understanding of the visually impaired population in VR environments. Event cameras, inspired by biological vision, represent a novel type of visual sensor that excels at capturing motion information within scenes. In this paper, a methodology is proposed that involves overlaying event information captured by an event camera onto the video obtained by a conventional camera. This fusion aims to augment the motion information within the video, thus improving the motion perception experience for visually impaired individuals. A comparative experiment is designed, contrasting the proposed method with both the original video and the event-overlaid video. The experimental results are quantified and evaluated, demonstrating that the introduction of event information leads to enhanced the scene understanding of visually impaired individuals.
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利用高帧视频和事件叠加增强视障人士对 VR 场景的理解
虚拟现实(VR)技术得到了长足的发展,各种 VR 应用逐渐融入人们的生活,为他们提供了新奇的视听体验。然而,视障人士由于运动感知能力受损,在使用 VR 时面临着挑战。本文探讨了如何增强视障人士在 VR 环境中对场景的理解。事件相机受生物视觉启发,是一种新型视觉传感器,擅长捕捉场景中的运动信息。本文提出了一种方法,将事件相机捕捉到的事件信息叠加到传统相机获取的视频中。这种融合旨在增强视频中的运动信息,从而改善视障人士的运动感知体验。我们设计了一个对比实验,将所提出的方法与原始视频和事件叠加视频进行对比。对实验结果进行了量化和评估,结果表明,事件信息的引入增强了视障人士对场景的理解。
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