  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.
