TRAINING DATA GENERATION METHOD FOR HUMAN FACIAL RECOGNITION AND DATA GENERATION APPARATUS

摘要

A training data generation method for human facial recognition and a data generation apparatus are provided. A large amount of virtual synthesized models are generated based on a face deformation model, where changes are made to face shapes, expressions, and/or angles to increase diversity of the training data. Experimental results show that the aforementioned training data may improve the accuracy of human face recognition.