在光学透视增强现实中匹配面部颜色
Yanmei He1,2,3, Christopher A Thorstenson1,4,5
1Munsell Color Science Laboratory, Rochester Institute of Technology, Rochester, NY, USA.
Journal of vision
|August 28, 2025
概括
这项研究研究了虚拟面部的增强现实 (AR) 色彩再现,发现皮肤色调和环境照明对光学透视AR系统中准确色彩匹配所需的调整产生重大影响.
科学领域:
- 计算机视觉
- 人与计算机的交互
- 颜色科学
背景情况:
- 增强现实 (AR) 将虚拟内容与现实世界相结合.
- 光学透视AR (OST-AR) 在准确的虚拟内容色彩再现方面面临挑战,特别是在较暗的肤色和明亮的环境中.
- 社交AR应用程序需要改进虚拟人脸染.
研究的目的:
- 研究皮肤色调和环境照明对虚拟人脸颜色再现的影响.
- 了解用户对OST-AR面部染的色度准确性和偏好进行调整.
主要方法:
- 使用OST-AR进行了心理物理实验.
- 参与者调整虚拟面部的颜色尺寸以匹配六种肤色的参考图像.
- 模拟的环境条件包括不同的亮度 (低/高) 和色度 (温暖/中性/凉爽).
主要成果:
- 准确匹配面部所需的色度调整因肤色而有显著差异.
- 环境照明条件 (亮度和色度) 也影响了必要的色度调整.
- 参与者的评分显示了不同条件的外观匹配和偏好差异.
结论:
- 在OST-AR中精确的虚拟人脸复杂且取决于皮肤色调和环境因素.
- 这些发现为开发更公平,更身临其境的AR体验提供了洞察力.
- 这项研究对于在扩展现实中推进现实的虚拟人体染至关重要.
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