In this paper, a novel method of facial expression recognition based on adaptive weighted
higher-order local autocorrelation coefficient (WHLAC) is presented. Firstly, The method gets …

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 …

A considerable amount of research work has been done for facial expression recognition
using local or global feature extraction methods. Weber Local Descriptor (WLD), a simple …

This paper proposes a new facial expression recognition method which combines Higher
Order Local Autocorrelation (HLAC) features with Weighted PCA. HLAC features are …

In order to enhance the robustness of facial expression recognition, we propose a method of
facial expression recognition based on improved Local Ternary Pattern (LTP) combined with …

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 …

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 …

In the field of Automatic Facial Expression Signal Recognition (AFESR) at video
communication system, the fusing feature extraction is playing an extremely important role in …

A novel feature extraction method for facial expression recognition from sequences of image
frames is described and tested. The authors propose HLAC-like features (HLACLF) for …

In order to solve the problem that recognition rate of facial expression images is easily
affected by non-uniform illumination factors, an improved face recognition algorithm is …