手持式触觉设备实现皮肤三维重建与微米级皱纹深度测量
In-Vivo Skin 3-D Surface Reconstruction and Wrinkle Depth Estimation using Handheld High Resolution Tactile Sensing
- 基于自研弹性凝胶与学习算法，实现高精度皮肤表面重建
- 在15名健康人身上验证多部位皱纹深度，均方误差仅12.55微米
- 可量化评估护肤品效果，适用于临床与美容场景
三维皮肤表面重建为客观、定量的皮肤病学评估提供了可能，但目前尚无经过验证且便携的高分辨率设备可用于不同身体部位的深度重建。本文提出一种集成于手持探头中的紧凑型3D皮肤重建装置，基于GelSight触觉成像技术，采用定制弹性凝胶和基于学习的重建算法，实现微米级皱纹高度估计。该探头配备力感测功能，确保接触一致性，在模拟皱纹物体上达到12.55微米的平均绝对误差。在15名无皮肤疾病参与者中，首次实现了多部位皱纹深度的可靠量化。研究进一步证明，使用非处方保湿品后，三个部位的皱纹高度显著降低。本工作提供了一种经验证的工具，可用于临床与化妆品分析，支持诊断、治疗监测及护肤产品有效性评估。
原文摘要 · Abstract (English)
Three-dimensional (3-D) skin surface reconstruction offers promise for objective and quantitative dermatological assessment, but no portable, high-resolution device exists that has been validated and used for depth reconstruction across various body locations. We present a compact 3-D skin reconstruction probe based on GelSight tactile imaging with a custom elastic gel and a learning-based reconstruction algorithm for micron-level wrinkle height estimation. Our probe, integrated into a handheld probe with force sensing for consistent contact, achieves a mean absolute error of 12.55 micron on wrinkle-like test objects. In a study with 15 participants without skin disorders, we provide the first validated wrinkle depth metrics across multiple body regions. We further demonstrate statistically significant reductions in wrinkle height at three locations following over-the-counter moisturizer application. Our work offers a validated tool for clinical and cosmetic skin analysis, with potential applications in diagnosis, treatment monitoring, and skincare efficacy evaluation.
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