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We present a regression-based scheme for multi-view facial expression recognition based on 2D geometric features. We address the problem by mapping facial points (e.g. mouth corners) from non-frontal to frontal view where further recognition of the expressions can be performed using a state-of-the-art facial expression recognition method. To learn the mapping functions we investigate four regression...
In this paper, we present an approach for facial expression classification, based on Active Appearance Models. To be able to work in real-world, we applied the AAM framework on edge images, instead of gray images. This yields to more robustness against varying lighting conditions. Additionally, three different facial expression classifiers (AAM classifier set, MLP and SVM) are compared with each other...
This paper proposes a novel hierarchical speaker identification method to save the speaker identification and training time, viz. First is to get a coarse decision by a fast scan all registered speakers using PCA classifier to found M possible target speakers; then is to get a final decision by the proposed Multi-Reduced Support Vector Machine (MRSVM). And the MRSVM has two reduction steps to reduce...
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