Semi-supervised multi-view dictionary learning based color face recognition method
A color face and dictionary learning technology, applied in the field of face recognition, can solve the problems of not making full use of color face image samples, not making full use of color image color information, etc., to achieve enhanced color face recognition ability and high recognition effect. Effect
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[0037] The technical solution of the present invention will be described in detail below in conjunction with the accompanying drawings.
[0038] Experimental verification uses the Face Recognition Grand Challenge (FRGC) version 2Experiment4 color face database (P.J.Phillips, P.J.Flynn, T.Scruggs, K.Bowyer, J.Chang, K.Hoffman, J.Marques, J.Min, W.Worek , "Overview of the Face Recognition Grand Challenge", IEEE Conf. Computer Vision and Pattern Recognition, vol.1, pp.947-954, 2005). The database has a large scale and includes three sub-databases: training, target, and query. The training sub-database contains 12,776 pictures of 222 individuals, the target sub-database contains 16,028 pictures of 466 people, and the query sub-database contains 8,014 pictures of 466 people. The experiment selected 222 people from the training set, each with 36 color images. All selected original images have been rectified (to make the two eyes in a horizontal position), scaled and cropped, and on...
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