In order to improve the inadequacies of Local Binary Pattern (LBP), Center-Symmetric Local
Binary Pattern (CS-LBP) and Histogram of Oriented Gradient (HOG) algorithm, Center …

In order to fully describe the texture informations of the image, and to distinguish the sub-
regions which contain different texture informations, this paper proposes a method of facial …

Facial expression recognition, as one of the important topics in pattern recognition and
computer vision, has broad applications in fields of human-computer interaction …

Facial expression recognition is a popular and difficult research field in human-computer
interaction. In order to remove effectively the differences in expression feature caused by …

The local direction pattern (LDP) is unsusceptible to random noise which is widely used in
texture extraction of face region. LDP cannot encode the central pixel thus the important …

In this work, a novel facial feature extraction method is proposed for automatic facial
expressions recognition, which detecting local texture information, global texture information …

Local binary pattern (LBP) is conceptually regarded as non-oriented, so it cannot capture
sufficiently detailed information. Aiming at the problem, the local orientational pattern (LOP) …

Abstract The traditional Local Binary Pattern (LBP) algorithm can analyze the center pixel
and neighboring pixels of the gray relationship, using in facial expression recognition, but …

According to the deficiencies of Local Binary Pattern (LBP), the dimension of extraction is
large, and it is not conducive to describe all characteristics of image texture, this paper …

In order to recognize facial expression accurately, the paper proposed a hybrid method of
principal component analysis (PCA) and local binary pattern (LBP). Firstly, the method of …