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- W1526854597 abstract "AbstractWe present a new approach for recognizing facial expressions based on two dimensions without detectable cues such as a neutral expression, which has essentially zero motion energy. To remove much of the variability due to lighting, a zero-phase whitening filter was applied. Principal component analysis(PCA) representation excluded the first one principal component as the features for facial expression recognition regardless of neutral expressions was developed. The result of facial expression recognition using a neural network model is compared with two-dimension values of internal states derived from ratings of facial expression pictures related to emotion by experimental subjects. The proposed algorithm demonstrated the ability to overcome the limitation of expression recognition based on a small number of discrete categories of emotional expressions, lighting sensitivity, and dependence on cues such as a neutral expression.KeywordsFacial ExpressionFace ImageEmotion RecognitionEmotion WordExpression RecognitionThese keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves." @default.
- W1526854597 created "2016-06-24" @default.
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- W1526854597 date "2005-01-01" @default.
- W1526854597 modified "2023-10-18" @default.
- W1526854597 title "Facial Expression Recognition Based on Two Dimensions Without Neutral Expressions" @default.
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- W1526854597 doi "https://doi.org/10.1007/11558651_21" @default.
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