Skinscan: 3D Dermatologic Diagnosis and Documentation with Commodity Devices
Nau M, Schiffers F, Li Y, Xu B, Maier A, Tumblin J, Walton M, Katsaggelos AK, Willomitzer F, Cossairt O (2022)
Publication Type: Conference contribution, Abstract of a poster
Publication year: 2022
Pages Range: 867
Conference Proceedings Title: Asilomar Proceedings
Event location: Pacific Grove, United States
ISBN: 978-1-6654-5828-3
DOI: 10.1109/IEEECONF53345.2021.9723389
Abstract
Computational photography has become a valuable field of
interest for dermatologists. Current telemedical approaches
mainly use two-dimensional (2D) color imagery, which cannot
always capture sufficient information for the physician.
In clinical practice dedicated imaging systems can acquire
valuable three-dimensional (3D) data to improve the patients
outcome. The major drawback of clinical imaging
systems is the price and the availability to the broad audience.
We tackle this problem by providing an open-source
software framework. The framework uses a photometric
stereo-inspired gradient illumination technique, enabling
detailed 3D measurements of fine skin structures, like fingerprints.
Especially in vastly populated or underdeveloped
areas, our system could show benefits for initial diagnosis
and documenting the evolution of skin diseases.
Authors with CRIS profile
Merlin Nau
Lehrstuhl für Informatik 5 (Mustererkennung)
Andreas Maier
Lehrstuhl für Informatik 5 (Mustererkennung)
Involved external institutions
How to cite
APA:
Nau, M., Schiffers, F., Li, Y., Xu, B., Maier, A., Tumblin, J.,... Cossairt, O. (2022, March). Skinscan: 3D Dermatologic Diagnosis and Documentation with Commodity Devices. Poster presentation at Asilomar Conference on Signals, Systems, and Computers, Pacific Grove, United States, US.
MLA:
Nau, Merlin, et al. "Skinscan: 3D Dermatologic Diagnosis and Documentation with Commodity Devices." Presented at Asilomar Conference on Signals, Systems, and Computers, Pacific Grove, United States Ed. IEEE, 2022.
BibTeX: Download