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Because of the diversity of human poses and appearances of the same pose, it is difficult to collect comprehensive training samples of all kinds of human poses and maintain the probability distribution of the training samples with the same as that of testing. Therefore, this paper learns prior knowledge from the known human pose in the collected samples to infer characteristics of new human poses...
Sometimes realistic face representation is confronted with blur or low-resolution face images, as a result, existing classification methods are not powerful and robust enough. This paper proposes a novel face representation approach (GLL) which fuses Gabor filter, Local Binary Pattern (LBP) and Local Phase Quantization (LPQ). In the process of Gabor filter, it uses Gabor wavelet functions with two...
Facial expression recognition is an active research area that finds a potential application in human emotion analysis. This work presents an efficient approach of facial expression features clustering based on Support Vector Clustering (SVC). Common approaches to facial expression features clustering are designed considering two main parts: (1) features extraction, and (2) features clustering. In...
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