Skinscan: 3D Dermatologic Diagnosis and Documentation with Commodity Devices. Nau, M. A., Schiffers, F., Li, Y., Xu, B., Maier, A., Tumblin, J., Walton, M., Katsaggelos, A. K., Willomitzer, F., & Cossairt, O. In 2021 55th Asilomar Conference on Signals, Systems, and Computers, volume 2021-Octob, pages 873–875, oct, 2021. IEEE. ![Skinscan: 3D Dermatologic Diagnosis and Documentation with Commodity Devices [link]](https://bibbase.org/img/filetypes/link.svg "link")
Paper doi abstract bibtex 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 [1], [2]. 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.
@inproceedings{Merlin2021,
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 [1], [2]. 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.},
author = {Nau, Merlin A. and Schiffers, Florian and Li, Yunhao and Xu, Bingjie and Maier, Andreas and Tumblin, Jack and Walton, Marc and Katsaggelos, Aggelos K. and Willomitzer, Florian and Cossairt, Oliver},
booktitle = {2021 55th Asilomar Conference on Signals, Systems, and Computers},
doi = {10.1109/IEEECONF53345.2021.9723389},
isbn = {978-1-6654-5828-3},
issn = {10586393},
keywords = {Computational Photography,Dermatologic Imaging,Photometric Stereo,Three-Dimensional Imaging},
month = {oct},
pages = {873--875},
publisher = {IEEE},
title = {{Skinscan: 3D Dermatologic Diagnosis and Documentation with Commodity Devices}},
url = {https://ieeexplore.ieee.org/document/9723389/},
volume = {2021-Octob},
year = {2021}
}
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