Automatic Illumination of Flat-Colored Drawings by 3D Augmentation of 2D Silhouettes

In this paper, a new automatic method for the illumination of flat-colored drawings is proposed. First, we reconstruct a 3D augmentation of a 2D silhouette from the analysis of its skeleton. Then, we apply the Phong lighting model that relies on the estimated normal map to generate an illuminated drawing. This method compares favorably to recent state-of-the-art methods, e.g. those using convolutional neural networks.