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Real-time face swapping as a tool for understanding infant self-recognition

Sao Mai Nguyen 1, * Masaki Ogino 2 Minoru Asada 2
* Corresponding author
1 Flowers - Flowing Epigenetic Robots and Systems
Inria Bordeaux - Sud-Ouest, U2IS - Unité d'Informatique et d'Ingénierie des Systèmes
Abstract : To study the preference of infants for contingency of movements and familiarity of faces during self-recognition task, we built, as an accurate and instantaneous imitator, a real-time face- swapper for videos. We present a non-constraint face-swapper based on 3D visual tracking that achieves real-time performance through parallel computing. Our imitator system is par- ticularly suited for experiments involving children with Autistic Spectrum Disorder who are often strongly disturbed by the constraints of other methods.
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Contributor : Sao Mai Nguyen <>
Submitted on : Thursday, December 8, 2011 - 10:21:06 PM
Last modification on : Wednesday, June 16, 2021 - 1:12:01 PM
Long-term archiving on: : Friday, November 16, 2012 - 2:50:42 PM


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  • HAL Id : hal-00645999, version 1
  • ARXIV : 1112.2095



Sao Mai Nguyen, Masaki Ogino, Minoru Asada. Real-time face swapping as a tool for understanding infant self-recognition. International Conference on Epigenetic Robotics, 2010, Glumslov, Sweden. pp.171-172. ⟨hal-00645999⟩



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