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With the latest advances in the fields of computer vision, image processing and pattern recognition, facial expression recognition is becoming more and more feasible for human computer interaction in Virtual Environments (VEs). In order to achieve subject-independent facial feature extraction and classification, we present part-based PCA (Principal Component Analysis) for facial feature extraction...
In order to achieve subject-independent facial feature detection and extraction and obtain robustness against illumination variety, a novel method of facial expression recognition using the combination of multi-step integral projection and Gabor transformation for feature detection and SVM for classification is presented in this paper. First, to avoid manually picked expression features, we propose...
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