TY - GEN
T1 - SKINSCAN
T2 - 28th IEEE International Conference on Image Processing, ICIP 2021
AU - Nau, Merlin A.
AU - Schiffers, Florian
AU - Li, Yunhao
AU - Xu, Bingjie
AU - Maier, Andreas
AU - Tumblin, Jack
AU - Walton, Marc
AU - Katsaggelos, Aggelos K.
AU - Willomitzer, Florian
AU - Cossairt, Oliver
N1 - Publisher Copyright: © 2021 IEEE.
PY - 2021
Y1 - 2021
N2 - 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.
AB - 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.
KW - Dermatologic imaging
KW - Photometric stereo
KW - Three-dimensional imaging
KW - Topographic imaging
UR - https://www.scopus.com/pages/publications/85125570802
UR - https://www.scopus.com/pages/publications/85125570802#tab=citedBy
U2 - 10.1109/ICIP42928.2021.9506335
DO - 10.1109/ICIP42928.2021.9506335
M3 - Conference contribution
T3 - Proceedings - International Conference on Image Processing, ICIP
SP - 2918
EP - 2922
BT - 2021 IEEE International Conference on Image Processing, ICIP 2021 - Proceedings
PB - IEEE Computer Society
Y2 - 19 September 2021 through 22 September 2021
ER -