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Recently developed appearance descriptors offer the opportunity for efficient and robust facial expression recognition. In this paper we investigate the merits of the family of local binary pattern descriptors for FACS Action-Unit (AU) detection. We compare Local Binary Patterns (LBP) and Local Phase Quantisation (LPQ) for static AU analysis. To encode facial expression dynamics, we extend the purely...
In years, security camera systems have been installed in various public facilities. More intelligent processes are needed to track people in image sequences for security camera systems. In this paper, we propose a face tracking and recognition method based on a Bayesian framework. We assume that an observed space is three-dimensional, and we estimate the 3D position of a person. We use facial 3D shape,...
The local binary pattern (LBP) operator is defined as a gray-scale invariant texture measure, derived from a general definition of texture in a local neighborhood. Due to its discriminative power and computational simplicity, the LBP texture operator has become a popular approach in various applications, including visual inspection, image retrieval, remote sensing, biomedical image analysis, motion...
In this work, we present a novel facial feature extraction method for automatic facial expression recognition, which is based on difference of local binary pattern histogram sequences. First, the Local Binary Pattern (LBP) technique is used to extract facial texture features. Then the LBP Map is divided into non-overlapping rectangle regions with specific size, and histogram is computed for each region,...
A novel method for face description by local multi-channel Gabor histogram sequence binary pattern (M-LGHSBP) is proposed. The motivation for the M-LGHSBP model is to find more rich and canonical texture measurement and deal with the high dimension problem of the local Gabor feature vector. Firstly, the normalized face image is sampled and blocked. Secondly, the blocked image is filtered by multi-orientation...
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