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arXiv · 2102.00508

SkinScan: Low-Cost 3D-Scanning for Dermatologic Diagnosis and Documentation

Merlin A. Nau·Florian Schiffers·Yunhao Li·Bingjie Xu·Andreas Maier·Jack Tumblin·Marc Walton·Aggelos K. Katsaggelos·Florian Willomitzer·Oliver Cossairt
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Abstract

The utilization of computational photography becomes increasingly essential in the medical field. Today, imaging techniques for dermatology range from two-dimensional (2D) color imagery with a mobile device to professional clinical imaging systems measuring additional detailed three-dimensional (3D) data. The latter are commonly expensive and not accessible to a broad audience. In this work, we propose a novel system and software framework that relies only on low-cost (and even mobile) commodity devices present in every household to measure detailed 3D information of the human skin with a 3D-gradient-illumination-based method. We believe that our system has great potential for early-stage diagnosis and monitoring of skin diseases, especially in vastly populated or underdeveloped areas.

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Merlin A. Nau, Florian Schiffers, Yunhao Li, Bingjie Xu, Andreas Maier, Jack Tumblin, Marc Walton, Aggelos K. Katsaggelos, Florian Willomitzer, Oliver Cossairt. 2021-01-31. SkinScan: Low-Cost 3D-Scanning for Dermatologic Diagnosis and Documentation. https://doi.org/10.1109/icip42928.2021.9506335.

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