基于智能手机摄影测量的三维人体扫描用于自动人体测量的验证：与商用基于深度传感器的人体扫描仪对比
Validation of Smartphone-Based Photogrammetric 3D Body Scanning for Automated Anthropometric Measurements Compared with a Commercial Depth-Sensor-Based Body Scanner
- The George Washington University（乔治·华盛顿大学）
- The University of Hong Kong（香港大学）
机构由 AI 辅助整理，请以论文原文为准。
AI总结：
本研究对比验证了智能手机摄影测量应用PolyCam与商用Fit3D ProScanner的人体扫描性能，发现二者一致性较强，PolyCam可作为商用人体扫描仪的潜在易获取替代方案用于纵向体型评估。
AI中文摘要：
三维人体扫描因快速且无创的特性，已成为医疗保健应用中的重要工具。尽管基于智能手机的摄影测量重建为商用三维人体扫描仪提供了低成本且易获取的替代方案，但其全身扫描的性能仍未得到充分验证。因此，本研究旨在通过评估自动提取的全身测量值及纵向体型监测，全面验证该摄影测量三维扫描应用。我们选取代表性应用PolyCam，与商用基于深度传感器的Fit3D ProScanner对比，对144名孕妇在孕期进行纵向扫描。我们设计了自动周长提取流程，从配对的三维扫描中获取四个解剖标志点的测量值；采用线性混合效应模型评估扫描仪效应及纵向体型变化；通过重复PolyCam扫描及在刚性人体模型上的卷尺测量评估测量一致性。结果显示，PolyCam与Fit3D一致性较强，所有标志点的平均偏差均低于16mm，组内相关系数高于0.8，皮尔逊相关系数高于0.9；两种系统捕捉到的纵向体型变化具有可比性；人体模型实验显示平均偏差低于3.5mm，且与卷尺测量无显著差异。这些发现支持智能手机摄影测量可作为商用人体扫描仪的潜在易获取替代方案，适用于纵向三维体型评估。
英文摘要：
3D body scanning has become an important tool in healthcare applications because of its rapid and non-invasive nature. While smartphone-based photogrammetric reconstruction provide a low-cost and accessible alternative to commercial 3D body scanners, their performance for whole-body scanning remains insufficiently validated. Thus, we designed this study to comprehensively validate the photogrammetric 3D scanning application by evaluating automatically extracted whole-body measurements and longitudinal body-shape monitoring. We evaluated a representative application, PolyCam, against the commercial depth-sensor-based Fit3D ProScanner using 144 pregnant participants scanned longitudinally throughout pregnancy. We designed an automatic circumference extraction pipeline to get measurements at four anatomical landmarks from paired 3D scans. A linear mixed-effects model was used to evaluate scanner effects and longitudinal body-shape changes. Measurement consistency was assessed using repeated PolyCam scans and tape measurements on a rigid mannequin. PolyCam demonstrated strong agreement with Fit3D, with average biases below 16 mm, intraclass correlation coefficients above 0.8, and Pearson correlation coefficients above 0.9 across all landmarks. Both systems captured comparable longitudinal body-shape changes. Mannequin experiments showed mean biases below 3.5 mm and no significant differences from tape measurements. These findings support smartphone photogrammetry as a potential accessible alternative to commercial body scanners and applicable for longitudinal 3D body-shape assessment.
