PT Unknown
AU Hassan Ahmed Sial
   Ramon Baldrich
   Maria Vanrell
   Dimitris Samaras
TI Light Direction and Color Estimation from Single Image with Deep Regression
BT London Imaging Conference
PY 2020
AB We present a method to estimate the direction and color of the scene light source from a single image. Our method is based on two main ideas: (a) we use a new synthetic dataset with strong shadow effects with similar constraints to the SID dataset; (b) we define a deep architecture trained on the mentioned dataset to estimate the direction and color of the scene light source. Apart from showing good performance on synthetic images, we additionally propose a preliminary procedure to obtain light positions of the Multi-Illumination dataset, and, in this way, we also prove that our trained model achieves good performance when it is applied to real scenes.
ER