Human behavior modeling publications
This paper describes a probabilistic framework for faithful reproduction of dynamic facial expressions on a synthetic face model with MPEG-4 facial animation parameters while achieving very low bitrate in data transmission.
In this paper, we propose to address one of the most challenging scenarios in face recognition. That is, to identify a subject from a test image that is acquired under different pose and illumination condition from only one training sample (also known as a gallery image) of this subject in the database
ISUPPOSEW is designed t o enable a robot to make conjectures, on the basis of its visual information, about elements of its environment that it cannot see.