Skinscan: Low-Cost 3D-Scanning for Dermatologic Diagnosis and Documentation. Nau, M. A., Schiffers, F., Li, Y., Xu, B., Maier, A., Tumblin, J., Walton, M., Katsaggelos, A. K., Willomitzer, F., & Cossairt, O. In 2021 IEEE International Conference on Image Processing (ICIP), volume 2021-Septe, pages 2918–2922, sep, 2021. IEEE. Paper doi abstract bibtex 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.
@inproceedings{nau2021skinscan,
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.},
archivePrefix = {arXiv},
arxivId = {2102.00508},
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 IEEE International Conference on Image Processing (ICIP)},
doi = {10.1109/ICIP42928.2021.9506335},
eprint = {2102.00508},
isbn = {978-1-6654-4115-5},
issn = {15224880},
keywords = {Dermatologic imaging,Photometric stereo,Three-dimensional imaging,Topographic imaging},
month = {sep},
pages = {2918--2922},
publisher = {IEEE},
title = {{Skinscan: Low-Cost 3D-Scanning for Dermatologic Diagnosis and Documentation}},
url = {https://ieeexplore.ieee.org/document/9506335/},
volume = {2021-Septe},
year = {2021}
}
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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. 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