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

Nau M, Schiffers F, Li Y, Xu B, Maier A, Tumblin J, Walton M, Katsaggelos AK, Willomitzer F, Cossairt O (2021)

Publication Language: English

Publication Type: Conference contribution, Conference Contribution

Publication year: 2021

Publisher: IEEE Computer Society

City/Town: Piscataway, NJ, USA

Pages Range: 2918-2922

Event location: Anchorage, AK, USA US

ISBN: 978-1-6654-3102-6

DOI: 10.1109/ICIP42928.2021.9506335

Open Access Link: https://ieeexplore.ieee.org/document/9506335

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.

Authors with CRIS profile

Merlin Nau Lehrstuhl für Informatik 5 (Mustererkennung) Andreas Maier Lehrstuhl für Informatik 5 (Mustererkennung)

Involved external institutions

Northwestern University US United States (USA) (US)

How to cite

APA:

Nau, M., Schiffers, F., Li, Y., Xu, B., Maier, A., Tumblin, J.,... Cossairt, O. (2021). Skinscan: Low-Cost 3D-Scanning for Dermatologic Diagnosis and Documentation. In IEEE (Eds.), Proceedings of the 2021 IEEE International Conference on Image Processing (ICIP) (pp. 2918-2922). Anchorage, AK, USA, US: Piscataway, NJ, USA: IEEE Computer Society.

MLA:

Nau, Merlin, et al. "Skinscan: Low-Cost 3D-Scanning for Dermatologic Diagnosis and Documentation." Proceedings of the 2021 IEEE International Conference on Image Processing (ICIP), Anchorage, AK, USA Ed. IEEE, Piscataway, NJ, USA: IEEE Computer Society, 2021. 2918-2922.

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