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To study the preference of infants for contingency of movements andfamiliarity of faces during self-recognition task, we built, as an accurate andinstantaneous imitator, a real-time face- swapper for videos. We present anon-constraint face-swapper based on 3D visual tracking that achieves real-timeperformance through parallel computing. Our imitator system is par- ticularlysuited for experiments involving children with Autistic Spectrum Disorder whoare often strongly disturbed by the constraints of other methods.

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