Recognizing moving faces: A psychological and neural synthesis
Hervé Abdi
The University of Texas at Dallas, TX, USA
Information for identifying a human face
can be found both in the invariant structure of features and in
idiosyncratic movements and gestures.
When both kinds of information are available, psychological
evidence indicates that:
(1) dynamic information contributes more to recognition under non-optimal viewing conditions,
e.g. poor
illumination, low image resolution, recognition from a distance;
(2) dynamic information contributes more as a
viewer's
experience with the face increases;
(3) a
structure-from-motion analysis can make a perceptually based contribution to face recognition.
In this talk, I will present a model describing a distributed neural system for face perception, which
can accommodate the psychological findings with moving faces.
I will also present some recent experimental and neuropsychological evidence supporting this model.