1. A method for generating a facial feature verification model, wherein the method comprises: acquiring N input facial images, wherein the N input facial images correspond to M persons with independent identities, wherein N is an integer greater than 2, and wherein M is an integer greater than 2; performing feature extraction on the N input facial images to obtain an original feature representation of each facial image; forming a face sample library according to the original feature representations; grouping samples corresponding to one person with an independent identity in the face sample library to obtain c groups of face samples, wherein c is an integer greater than or equal to 2; obtaining a common intrinsic representation of the c groups of face samples for samples of each person with an independent identity according to manifold relevance determination; obtaining a training sample set of an intrinsic representation according to the common intrinsic representation of the c groups of face samples of the person with an independent identity; training the training sample set of the intrinsic representation to obtain a Bayesian model of the intrinsic representation; and obtaining a facial feature verification model according to a preset model mapping relationship and the Bayesian model of the intrinsic representation.