  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.
