Facial micro-expressions contain signi cant information about how people feel, even when they are attempting to conceal their emotions. Previously, very little research has been done to detect and recognize micro-expressions using computer vision methods. In this paper, detection and classi cation of microexpressions from the Spontaneous Micro-Expression database were implemented, following pre...

In this paper, we propose a simple and efficient face representation feature that adopts the eigenfaces of Local Binary Pattern (LBP) space, referred to as the LBP eigenfaces, for robust face recognition. In the proposed method, LBP eigenfaces are generated by first mapping the original image space to the LBP space and then projecting the LBP space to the LBP eigenface subspace by Principal Com...

Face acknowledgment is a strategy which recognizes an individual in light of the profile or elements substance that individual. LBPH (Local Binary Patterns Histogram) to identify and perceive In LBP, first, some piece picture grayscale taken as 3×3 window size pixel worth neighborhood contrasted focal afterward twofold doled out then changed over decimal worth. LBP joined with histograms called...

The purpose of this paper is to present a comprehensive study of latest and most famous facial features extraction techniques and as well as classification techniques. We studied these techniques in two different perspectives; one is spatial domain and other is frequency domain. We found many advantages and disadvantages of each technique inside one domain and as well in between different domai...

A novel descriptor able to improve the classification capabilities of a typical pattern recognition system is proposed in this paper. The introduced descriptor is derived by incorporating two efficient region descriptors, namely image moments and Local Binary Patterns (LBP), commonly used in pattern recognition applications, in the last decades. The main idea behind this novel feature extractio...

Face Recognition system is one of an effective system which is used for the identification of a person from a video frame or a digital image. The concept of FRS is primarily used in the field of security systems and hence can be get compared to other systems which are biometric in nature such as IRIS Recognition or Fingerprint systems. Apart from these techniques, Local Binary Patterns (LBP) al...

In this paper, we proposed a technique for facial expression representation based on combination of Curvelet Transform and Complete Local Binary Pattern (CLBP). The curvelet transform offers improved directional capability, better ability to represent edges and other singularities along curves as compared to other traditional multiscale transforms. Hence, we transform original face images to fr...

Automatic facial expression analysis is an interesting and challenging problem, and impacts important applications in many areas such as human–computer interaction and data-driven animation. Deriving an effective facial representation from original face images is a vital step for successful facial expression recognition. In this paper, we empirically evaluate facial representation based on stat...

Dynamic texture is an extension of texture to the temporal domain. Description and recognition of dynamic textures has attracted growing attention. In this paper, a new method for recognizing dynamic textures is proposed. The textures are modeled with volume local binary patterns (VLBP), which are an extension of the LBP operator widely used in still texture analysis, combining the motion and a...