BODIESReg：一种使用姿态对齐初始化来配准3D人体扫描的开源管道
BODIESReg: An Open-Source Pipeline for Registering 3D Body Scans Using Pose-Aligned Initialization
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中文总结 AI 辅助
研究针对生物力学模型个性化需准确识别解剖标志等，提出开源管道BODIESReg，通过姿态对齐初始化解决配准难题，在两个数据集上评估，自动配准成功率高，误差低，还提供手动校正工具，支持3D人体扫描大规模配准。
中文摘要 AI 辅助
生物力学模型用于临床康复、运动科学和职业健康中量化和优化人体运动。个性化这些模型需要准确识别解剖标志和身体节段参数，可从3D身体表面扫描中获取。将这些表面配准到标准模板对于自动地标检测和模型缩放至关重要。然而，将参数化身体模型拟合到真实世界的3D点云仍然具有挑战性。我们提出了BODIESReg，一种开源配准管道，通过在距离最小化开始前构建姿态对齐网格来解决初始化问题。在自动模式下，BODIESReg可用于端到端配准且无需用户干预，并能批量处理多次扫描。我们在两个互补数据集上评估了BODIESReg，自动配准在CHI3D数据集成功率为82.9%，在MorphoMotion数据集全部成功，成功配准中两个数据集的平均表面拟合误差均低于10毫米。对于自动初始化失败的情况，提供了手动姿态校正和对应选择的交互式工具。BODIESReg支持用于生物力学研究的3D人体扫描的大规模配准。
英文摘要
Biomechanical models are used to quantify and optimize human movement in clinical rehabilitation, sports science, and occupational health. Personalizing these models requires accurate identification of anatomical landmarks and body segment parameters, which can be derived from 3D body surface scans. Registering these surfaces to a canonical template is essential for automated landmark detection and model scaling. However, fitting parametric body models to real-world 3D point clouds remains challenging: non-linear optimization can converge to suboptimal solutions when target poses deviate substantially from the default pose of a template. We present BODIESReg, an open-source registration pipeline that addresses this initialization problem by constructing a pose-aligned mesh before distance minimization begins. In automatic mode, BODIESReg can be used for end-to-end registration without user intervention and processes multiple scans in batch. We evaluated BODIESReg on two complementary datasets: CHI3D, a synthetic dataset containing complex human poses, and MorphoMotion, a set of real-world 3D optical scans. Automatic registration succeeded for 82.9% of CHI3D scans and for all MorphoMotion scans. Among successful registrations, mean surface-fit error were below 10 mm across both datasets. For cases where automatic initialization fails, we provide interactive tools for manual pose correction and correspondence selection. BODIESReg supports large-scale registration of 3D body scans for biomechanical research.
