Automatic Illumination of Flat-Colored Drawings by 3D Augmentation of 2D Silhouettes - Archive ouverte HAL
Communication Dans Un Congrès Année : 2022

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

Résumé

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.
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Dates et versions

hal-03826639 , version 1 (24-10-2022)

Identifiants

Citer

David Tschumperlé, Christine Porquet, Amal Mahboubi. Automatic Illumination of Flat-Colored Drawings by 3D Augmentation of 2D Silhouettes. IEEE International Conference on Image Processing (ICIP'2022), Oct 2022, Bordeaux, France. ⟨10.1109/ICIP46576.2022.9897386⟩. ⟨hal-03826639⟩
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