Literature DB >> 31944944

Turning a Smartphone Selfie Into a Studio Portrait.

Nicola Capece, Francesco Banterle, Paolo Cignoni, Fabio Ganovelli, Ugo Erra, Mike Potel.   

Abstract

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.

Year:  2020        PMID: 31944944     DOI: 10.1109/MCG.2019.2958274

Source DB:  PubMed          Journal:  IEEE Comput Graph Appl        ISSN: 0272-1716            Impact factor:   2.088


  1 in total

1.  Selfie-driven thyroid disease leads: A study on a unique sign and its utility in clinical practice.

Authors:  Ramakanth Bhargav Panchangam; Sunil Kumar Kota; Sabaretnam Mayilvaganan
Journal:  Ann Afr Med       Date:  2021 Oct-Dec
  1 in total

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