Light Direction and Color Estimation from Single Image with Deep Regression

• URL: http://arxiv.org/abs/2009.08941v1
• Date: Fri, 18 Sep 2020 17:33:49 GMT
• Title: Light Direction and Color Estimation from Single Image with Deep Regression
• Authors: Hassan A. Sial, Ramon Baldrich, Maria Vanrell, Dimitris Samaras
• Abstract summary: 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.
• Score: 25.45529007045549
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• Abstract: 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.

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