2020
Journal article  Restricted

Turning a Smartphone Selfie into a Studio Portrait

Capece N., Banterle F., Cignoni P., Ganovelli F., Erra U., Potel M.

computer graphics  Software  Computer Graphics and Computer-Aided Design 

We introduce a novel algorithm that turns a flash selfie taken with a smartphone into a studio-like photograph with uniform lighting. Our method uses a convolutional neural network trained on a set of pairs of photographs acquired in a controlled environment. For each pair, we have one photograph of a subject's face taken with the camera flash enabled and another one of the same subject in the same pose illuminated using a photographic studio-lighting setup. We show how our method can amend lighting artifacts introduced by a close-up camera flash, such as specular highlights, shadows, and skin shine.

Source: IEEE computer graphics and applications 40 (2020): 140–147. doi:10.1109/MCG.2019.2958274

Publisher: National Computer Graphics Association,, [Los Alamitos, CA] , Stati Uniti d'America



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BibTeX entry
@article{oai:it.cnr:prodotti:424580,
	title = {Turning a Smartphone Selfie into a Studio Portrait},
	author = {Capece N. and Banterle F. and Cignoni P. and Ganovelli F. and Erra U. and Potel M.},
	publisher = {National Computer Graphics Association,, [Los Alamitos, CA] , Stati Uniti d'America},
	doi = {10.1109/mcg.2019.2958274},
	journal = {IEEE computer graphics and applications},
	volume = {40},
	pages = {140–147},
	year = {2020}
}