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These features are then used to train the GentleBoost classifiers, and build a Hidden Markov Model (HMM), in order to model the full temporal dynamic of the expressions. Rudovic and Pantic [ 27 ] introduce a method for head-pose invariant facial expression recognition that is based on a set of characteristic facial points, extracted using AAMs....

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3715259/

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