A Video Database for Facial Behavior Understanding
نویسنده
چکیده
The use of new technologies in order to step up the interaction between humans and machines is the main proof that faces are important in videos. Therefore we suggest a novel Face Video Database for development, testing and verification of algorithms related to facebased applications and to facial recognition applications. In addition of facial expression videos, the database includes body videos. The videos are taken by three different cameras, working in real time, without varying illumination conditions.
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تاریخ انتشار 2011