IMAGE FEATURE EXTRACTION METHOD, APPARATUS, TERMINAL DEVICE, AND SYSTEM

摘要

The present application provides an image feature extraction method. Firstly, an image input by a user is received. Then, the image input by the user is registered to obtain a registered image. Then, a plurality of structured sub-images is constructed for the registered image. Then, visual features of each structured sub-image are extracted by means of a feature model obtained by multi-model training. Then, the visual features of the plurality of structured sub-images are structurally combined to obtain structured feature data. Finally, the structured feature data is operated by means of a model obtained by structured model training to obtain image feature data. Compared with the prior art, the present application has the advantages that obtained image feature data is a feature vector; because the feature vector and a model keep structured characteristics of an image in a training process, the image feature data has higher accuracy and recognizability, and will have higher accuracy when being applied to image recognition, particularly to face recognition, thereby obtaining a better recognition effect.