Generalized Discriminant Orthogonal Nonnegative Tensor Factorization for Facial Expression Recognition

Abstract EN

In order to overcome the limitation of traditional nonnegative factorization algorithms, the paper presents a generalized discriminant orthogonal non-negative tensor factorization algorithm.

At first, the algorithm takes the orthogonal constraint into account to ensure the nonnegativity of the low-dimensional features.

Furthermore, the discriminant constraint is imposed on low-dimensional weights to strengthen the discriminant capability of the low-dimensional features.

The experiments on facial expression recognition have demonstrated that the algorithm is superior to other non-negative factorization algorithms.