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

arXiv 2102.00508 ↗First posted 31 Jan 2021eess.IV cs.CVcited by 0

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Abstract (arXiv)

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.

Key facts. No citing papers in the map yet (data through 14 Oct 2026). Builds on 1 of its 27 references that are in the map. First posted on arXiv 31 Jan 2021.

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References · 1

  1. 2014Deep Convolutional Neural Fields for Depth Estimation from a Single Imagecited by 106

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