Effectiveness of local binary pattern (LBP) for face recognition has been proven. But the weight of weighted LBP is difficult to determine. In this paper, we proposed a biologically plausible approach to set the weight automatically. Combining LBP and visual attention, a weight map can be constructed by summing over the saliency map. The weight map outlines salient information in the image and ...

In this paper, we propose a simple and robust local descriptor, called the robust local binary pattern (RLBP). The local binary pattern (LBP) works very successfully in many domains, such as texture classification, human detection and face recognition. However, an issue of LBP is that it is not so robust to the noise present in the image. We improve the robustness of LBP by changing the coding ...

Feature extraction plays an important role in face recognition. Based on local binary patterns (LBP), we propose a novel face representation method which obtains histograms of semantic pixel sets based LBP (spsLBP) with a robust code voting (rcv). By clustering according the semantic pixel relations before the histogram estimation, the spsLBP makes better use of the spatial information over the...

Face descriptor is a critical issue for face recognition. Many local face descriptors like Gabor, LBP have exhibited good discriminative ability for face recognition. However, most existing face descriptors are designed in a handcrafted way and the extracted features may not be optimal for face representation and recognition. In this paper, we propose a learning based mechanism to learn the dis...

The hidden Markov model (HMM)-based approach for eye movement analysis is able to reflect individual differences in both spatial and temporal aspects of eye movements. Here we used this approach to understand the relationship between eye movements during face learning and recognition, and its association with recognition performance. We discovered holistic (i.e., mainly looking at the face cent...

Facial expression recognition is one of the most challenging research areas in the image recognition field and has been actively studied since the 70’s. For instance, smile recognition has been studied due to the fact that it is considered an important facial expression in human communication, it is therefore likely useful for human-machine interaction. Moreover, if a smile can be detected and ...

Science in general, and ecology in particular, often proceed from the identification of patterns or propensities to the construction of theories, then back to the detailed analysis of the patterns, toward the development of more powerful theories (Peters 1992; Levin 1993), or the quantification of the propensities (Popper 1996). Thus, pattern recognition and explanation of the related propensit...