Multi-subregion based correlation filter bank for robust face recognition
A feature extraction algorithm MS-CFB is proposed for robust face recognition. MS-CFB combines the benefits of global-based and local-based feature extraction. We optimize overall correlation outputs by the multi-subregion based filter bank. The unconstrained form of correlation filter bank is designed in spatial domain. Experiments show the effectiveness of MS-CFB on popular face databases.
correlation filter bank face recognition feature extraction