Facial Expression Recognition Using Kernel Discriminant Plane

摘要

Facial expression recognition (FER) based on a new nonlinear feature extraction method, called kernel discriminant plane (KDP), is proposed in this paper. KDP is a nonlinear extension of the Sammon's optimal discriminant plane (ODP) via the kernel trick. The recognition procedure is divided into two steps: (1) we select 34 fiducial points manually from each facial image and use the coordinates of these points as the input data of the facial image; (2) we construct a multiple binary classifier for the classification purpose of this task. The better performance of the proposed method is confirmed by the Japanese Female Facial Expression (JAFFE) database.