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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....

www.enggjournals.com/ijet/docs/IJET09-01-02-07.pdf

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Biview face recognition in the shape–texture domain ...

Texture model is constructed with PCA. The complexity of PCA is O (p 2), where p×p is the dimensions of covariance matrix. Shape Template is mainly related to AAM and GED. It is difficult to analyse the computational complexity of AAM theoretically, but it has been proved experimentally that convergence rate of AAM is fast .If HMM based GED is adopted, computational complexity of the HMM ...

https://www.sciencedirect.com/science/article/pii/S0031320312005365

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