Research Article
Joint Subspace and Low-Rank Coding Method for Makeup Face Recognition
Input: a dataset of facial images , including with makeup images and without makeup images; | Output: dictionary D and project matrix W. | Initialization: random matrix B, constructing R’s columns using eigen-vectors with top p eigen-values of C; | Repeat | Update W using equation (13) with D, A, E, and H fixed; | Update D using equation (15) with A, W, E, and H fixed; | Update A using equation (17) with W, D, E, and H fixed; | Update E and H using equations (18) and (19) with W, D and A fixed; | if converged |
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