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Facial expression analysis is rapidly becoming an area of interest in computer science and human-computer interaction design communities. The most expressive way human displays emotion is through facial expressions. The contours of the mouth, eyes and eyebrows play an important role in classification of facial expressions. It can be classified into some classes like happiness, sadness, disgust, fear,...
In order to overcome slow speed of traditional PCA, the paper presents that feature vector can be obtained by feature block two dimensional principal component analysis, and the Manhattan distance classifier output recognition results. Calculation speed can be enhanced efficiently. Compared with Euclidean distance, recognition rate is improved by Manhattan distance. The experiments of training data...
Humans are immersed in a high-tech computing environment. Dependence on the pervasiveness of modern devices encompasses even simple everyday tasks. Unfortunately, the rapidly increasing expectations on the intelligence of these devices often exceeds their abilities. Devices are expected to perceive their environment, understand our intent, and autonomously carry out appropriate tasks. This paper presents...
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