Using Moments on Spatiotemporal Plane for Facial Expression Recognition
Résumé
In this paper, we propose a novel approach to capture the
dynamic deformation caused by facial expressions. The
proposed method is concentrated on the spatiotemporal plane
which is not well explored. It uses the moments as features
to describe the movements of essential components such as
eyes and mouth on vertical time plane. The system we
developed can automatically recognize the expression on
images as well as on image sequences. The experiments are
performed on 348 sequences from 95 subjects in Cohn-Kanade
database and obtained good results as high as 96.1% in
7-class recognition for frames and 98.5% in 6-class for
sequences.