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Conference Papers Year : 2010

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

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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Dates and versions

hal-00645999 , version 1 (08-12-2011)

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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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