Face Expression and Motion Analysis over Monocular Images

Abstract

As computers evolve towards becoming more human-oriented machines, human-computer interfaces, behavior-learning robots, and disable-adapted computer environments will use face expression analysis to be able to react to human action. Furthermore, faces play an essential role in human communication. Consequently, they have been the first objects whose motion has been studied in order to recreate animation on synthesized models or to interpret motion for a posteriori use. The analysis of motion and expression from monocular (single) images is widely investigated because non-stereoscopic static images and videos are the most affordable and extensively used visual media (i.e., Webcams).