  In this paper, we propose a new method to expose AI-generated fake face
images or videos (commonly known as the Deep Fakes). Our method is based on the
observations that Deep Fakes are created by splicing synthesized face region
into the original image, and in doing so, introducing errors that can be
revealed when 3D head poses are estimated from the face images. We perform
experiments to demonstrate this phenomenon and further develop a classification
method based on this cue. Using features based on this cue, an SVM classifier
is evaluated using a set of real face images and Deep Fakes.
