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 LDA BASED FACE RECOGNITION BY USING HIDDEN MARKOV MODEL IN ...
Abstract: Hidden Markov model (HMM) is a promising method that works well for images with variations in lighting, facial expression, and orientation. Face recognition draws attention as a complex task due to noticeable changes produced on appearance by illumination, facial expression, size, orientation and other external factors....
Facial Expression Recognition using Efficient LBP and CNN
al.[8] proposed facial expression recognition method using Hidden Markov Model. The relative displacement of the feature points between the current frame and the neutral frame are extracted as the facial features. Classification entropy threshold and model parameters are found out using iterative algorithm during training process....
Geometric Feature-Based Facial Expression Recognition in ...
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....
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