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 FACE PROFILE RECOGNITION AND IDENTIFICATION
proposed for automatic person identification using face profile images. The commonly used methods for face profile recognition include: Scale space filtering [1], Morphological transform [2, 3], Dynamic time warping [4], Attributed string [5], and Hidden Markov model [6, 7].
Advanced Signal Processing and Pattern Recognition Methods ...
The next paper, by P. R. Nicholl et al., performs face recognition by combining the multiresolution feature of the discrete wavelet transform (DWT) with the local interactions of the facial structures expressed through the structural hidden Markov model (SHMM). Experimental results suggest the benefits of employing SHMMs over traditional HMMs.
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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