On face segmentation, face swapping, and face perception

Yuval Nirkin, Iacopo Masi, Anh Trǎn Tuǎn, Tal Hassner, Gérard Medioni

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

161 Scopus citations

Abstract

We show that even when face images are unconstrained and arbitrarily paired, face swapping between them is quite simple. To this end, we make the following contributions. (a) Instead of tailoring systems for face segmentation, as others previously proposed, we show that a standard fully convolutional network (FCN) can achieve remarkably fast and accurate segmentations, provided that it is trained on a rich enough example set. For this purpose, we describe novel data collection and generation routines which provide challenging segmented face examples. (b) We use our segmentations for robust face swapping under unprecedented conditions. (c) Unlike previous work, our swapping is robust enough to allow for extensive quantitative tests. To this end, we use the Labeled Faces in the Wild (LFW) benchmark and measure the effect of intra- and inter-subject face swapping on recognition. We show that our intra-subject swapped faces remain as recognizable as their sources, testifying to the effectiveness of our method. In line with established perceptual studies, we show that better face swapping produces less recognizable inter-subject results. This is the first time this effect was quantitatively demonstrated by machine vision systems.

Original languageEnglish
Title of host publicationProceedings - 13th IEEE International Conference on Automatic Face and Gesture Recognition, FG 2018
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages98-105
Number of pages8
ISBN (Electronic)9781538623350
DOIs
StatePublished - 5 Jun 2018
Externally publishedYes
Event13th IEEE International Conference on Automatic Face and Gesture Recognition, FG 2018 - Xi'an, China
Duration: 15 May 201819 May 2018

Publication series

NameProceedings - 13th IEEE International Conference on Automatic Face and Gesture Recognition, FG 2018

Conference

Conference13th IEEE International Conference on Automatic Face and Gesture Recognition, FG 2018
Country/TerritoryChina
CityXi'an
Period15/05/1819/05/18

Bibliographical note

Publisher Copyright:
© 2018 IEEE.

Keywords

  • Face recognition
  • Face segmentation
  • Face swapping

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