Flashlight Test

The term "flashlight test" encompasses diverse research areas, primarily focusing on improving image processing and medical diagnostics. Current research involves developing computational methods to control and interpret flash photography, enabling advanced inverse rendering techniques for 3D scene reconstruction from images captured with a flashlight. In ophthalmology, virtual reality is being explored to create a more objective and reliable version of the traditional swinging flashlight test for detecting pupillary defects. Finally, in machine learning, "Flashlight" refers to a framework designed to accelerate the development and deployment of novel algorithms, particularly for scalable link prediction.