Light Direction and Color Estimation from Single Image with Deep Regression

Autor:	Sial, Hassan A., Baldrich, Ramon, Vanrell, Maria, Samaras, Dimitris
Rok vydání:	2020
Předmět:	Computer Science - Computer Vision and Pattern Recognition Computer Science - Graphics
Druh dokumentu:	Working Paper
Popis:	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. Comment: Conference: London Imaging Meeting 2020
Databáze:	arXiv
Externí odkaz:	http://arxiv.org/abs/2009.08941 Zobrazit plný text záznamu View this record from Arxiv