Method and Apparatus for Generating Facial Feature Verification Model

摘要

A method and an apparatus for generating a facial feature verification model. The method includes acquiring N input facial images, performing feature extraction on the N input facial images, to obtain an original feature representation of each facial image, and forming a face sample library, for samples of each person with an independent identity, obtaining an intrinsic representation of each group of face samples in at least two groups of face samples, training a 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. In the method and apparatus for generating a facial feature verification model in the embodiments of the present disclosure, complexity is low and a calculation amount is small.

主权项

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.