Facial color matching in optical see-through augmented reality.

IF 2.3 4区 心理学 Q2 OPHTHALMOLOGY
Yanmei He, Christopher A Thorstenson
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引用次数: 0

Abstract

Augmented reality (AR) aims to combine elements of the surrounding environment with additional virtual content into a combined viewing scene. Displaying virtual human faces is a widespread practical application of AR technology, which can be challenging in optical see-through AR (OST-AR) because of limitations in its color reproduction. Specifically, OST-AR's additive optical blending introduces transparency and color-bleeding, which is exacerbated especially for faces having darker skin tones, and for brighter and more chromatic ambient environments. Given the increasing prevalence of social AR applications, it is essential to better understand how facial color reproduction is impacted by skin tone and ambient lighting in OST-AR. In this study, a psychophysical experiment was conducted to investigate how participants adjusted colorimetric dimensions of OST-AR-displayed faces to match the color of the same faces viewed on a conventional emissive display. These adjustments were made for faces having six different skin tones, while under different simulated ambient luminance ("low" vs. "high") and chromaticity (warm, neutral, cool). Additionally, participants rated their adjustments for overall appearance match and preference. The results indicate that the magnitude and specific dimensions of colorimetric adjustments needed to make matches varied across skin tones and ambient conditions. The current work is expected to facilitate virtual human face reproduction in AR applications and to foster more equitable and immersive extended reality environments.

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光学透明增强现实中的面部颜色匹配。
增强现实(AR)旨在将周围环境的元素与额外的虚拟内容结合到一个组合的观看场景中。显示虚拟人脸是增强现实技术的一个广泛的实际应用,但由于光学透明增强现实(OST-AR)在色彩再现方面的限制,它可能具有挑战性。具体来说,OST-AR的添加剂光学混合引入了透明度和颜色出血,特别是对于肤色较深的面孔,以及更明亮、色彩更丰富的环境,这种情况会加剧。鉴于社交AR应用的日益普及,有必要更好地了解面部颜色再现如何受到肤色和环境照明在OST-AR中的影响。在这项研究中,进行了一项心理物理实验,以调查参与者如何调整ost - ar显示的人脸的色度维度,以匹配在传统发射显示器上看到的相同人脸的颜色。这些调整是针对有六种不同肤色的脸进行的,而在不同的模拟环境亮度下(“低”vs。“高”)和色度(暖色、中性、冷色)。此外,参与者对他们的整体外观匹配和偏好进行了评估。结果表明,在肤色和环境条件下,进行匹配所需的色度调整的幅度和具体尺寸各不相同。目前的工作有望促进AR应用中的虚拟人脸再现,并促进更公平和沉浸式的扩展现实环境。
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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来源期刊
Journal of Vision
Journal of Vision 医学-眼科学
CiteScore
2.90
自引率
5.60%
发文量
218
审稿时长
3-6 weeks
期刊介绍: Exploring all aspects of biological visual function, including spatial vision, perception, low vision, color vision and more, spanning the fields of neuroscience, psychology and psychophysics.
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