This paper presents a new method for facial expression recognition using divided local binary pattern features. Motivated by Fourier’s parity decomposition, we decompose a LBP descriptor into two subdescriptors. This method reduces the amount of data of the feature extraction, reducing the data dimension effectively. Experimental results on JAFFE facial expression database show that the propose...

In this paper, we formulate the face hallucination as an image decomposition problem, and propose a Morphological Component Analysis (MCA) based method for hallucinating a single face image. A novel three-step framework is presented for the proposed method. Firstly, a low-resolution input image is up-sampled via an interpolation. Then, the interpolated image is decomposed into a global high-res...

This paper presents a survey on the recent use of Local Binary Patterns (LBPs) for face recognition. LBP is becoming a popular technique for face representation. It is a non-parametric kernel which summarizes the local spacial structure of an image and it is invariant to monotonic gray-scale transformations. This is a very interesting property in face recognition. This probably explains the rec...

Image-level classification from hyperspectral images (HSI) has seldom been addressed in the literature. Instead, traditional classification methods have focused on individual pixels. Pixel-level HSI classification comes at a high computational burden though. In this paper, we present a novel pipeline for classification at image-level, where each band in the HSI is considered as a separate image...

This paper evaluates facial recognition based on Local Binary Patterns on three orthogonal planes, Pyramid of Histogram of Gradients, and a geometrical feature based on distance between fiducial points for person-independent facial expression recognition. Different machine learning methods are systematically examined on two databases (posed and spontaneous). For posed database Cohn-Kanade has b...

In this paper, we employ several subspace representations (PCA, UDP, KCFA, and KDA) on our proposed discrete transform encoded local binary patterns (DT-LBP) to match periocular region on a large data set such as NIST’s Face Recognition Grand Challenge (FRGC) ver2.0 database. We strictly follow FRGC EXPERIMENT 4 protocol which involves 1-to-1 matching of 8,014 uncontrolled probe periocular imag...

In this work, we present a novel approach to face recognition which considers both shape and texture information to represent face images. The face area is first divided into small regions from which Local Binary Pattern (LBP) histograms are extracted and concatenated into a single, spatially enhanced feature histogram efficiently representing the face image. The recognition is performed using ...

This paper is a progress report on a project in linguistically based automatic speech recognition, The domain of this project is English intonation. The system I will describe analyzes fundamental frequency contours (F0 contours) of speech in terms of the theory of melody laid out in Pierrehumbert (1980). Experiments discussed in Liberman and Pierrehumbert (1983) support the assumptions made ab...

Background and Objectives: Action recognition, as the processes of labeling an unknown action of a query video, is a challenging problem, due to the event complexity, variations in imaging conditions, and intra- and inter-individual action-variability. A number of solutions proposed to solve action recognition problem. Many of these frameworks suppose that each video sequence includes only one ...

3D face recognition is a promising alternative to face the problem of recognizing 2D robustness. Therefore, the main advantage of 3D face recognition-based approach uses all the information on the geometry of the face, which allows us to get an accurate representation of the face. In the proposing contribution all distinctive facial features are captured by first extracting SIFT (Scale Invarian...