首个3D血流搏动数据集，用于远程脉搏检测研究。
3D Blood Pulsation Maps
- 构建15人30帧/秒多视角视频与3D面部扫描数据集。
- 生成高保真3D血流搏动图，信噪比与脉搏幅度可量化。
- 支持光照鲁棒分析，适合生物特征与医学成像研究者。
我们提出Pulse3DFace，首个用于估计3D血流搏动的地图数据集。该数据集可用于开发动态面部血流搏动模型，生成合成视频以改进和验证基于光电容积脉搏波描记法（PPG）的远程脉搏估计方法。同时，数据集支持基于多视角的新方法，用于缓解光照变化对血流搏动分析的影响。数据集包含15名受试者的原始视频，采样率30 Hz，由23个视角的RGB相机采集，配有血流脉搏参考测量值，以及使用单目运动恢复结构（monocular structure-from-motion）技术生成的面部3D扫描。还提供了与3D头像模型FLAME纹理空间兼容的处理后3D搏动图，包含信噪比、局部脉搏幅度、相位信息及补充数据。我们对数据集的光照条件、地图一致性及其在面部和颈部皮肤区域捕捉生理意义特征的能力进行了全面评估。
原文摘要 · Abstract (English)
We present Pulse3DFace, the first dataset of its kind for estimating 3D blood pulsation maps. These maps can be used to develop models of dynamic facial blood pulsation, enabling the creation of synthetic video data to improve and validate remote pulse estimation methods via photoplethysmography imaging. Additionally, the dataset facilitates research into novel multi-view-based approaches for mitigating illumination effects in blood pulsation analysis. Pulse3DFace consists of raw videos from 15 subjects recorded at 30 Hz with an RGB camera from 23 viewpoints, blood pulse reference measurements, and facial 3D scans generated using monocular structure-from-motion techniques. It also includes processed 3D pulsation maps compatible with the texture space of the 3D head model FLAME. These maps provide signal-to-noise ratio, local pulse amplitude, phase information, and supplementary data. We offer a comprehensive evaluation of the dataset's illumination conditions, map consistency, and its ability to capture physiologically meaningful features in the facial and neck skin regions.
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