Conditional convolution neural network enhanced random forest for facial expression recognition.

Pattern Recognition(2018)

Cited 80|Views22
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Abstract
•A conditional convolution neural network enhanced random forests for facial expression recognition.•The method achieves fast and accurate results with a limited amount of training data.•A robust deep salient feature representation based on saliency-guided facial patches using “visual attention” mechanisms.
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Key words
Classification,Feature extraction,Facial expression recognition,Head pose alignment,Conditional CoNERF
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