Face retrieval method and apparatus as well as storage medium and device

Abstract

The invention discloses a face retrieval method and apparatus as well as a storage medium and device, which belongs to the technical field of deep learning. The method comprises the following steps: acquiring a target face image to be retrieved; extracting features of the target face image according to each residual block connected successively in a deep residual network to obtain target face feature information, wherein any one residual block comprises an identity mapping and at least two convolution layers, and the identity mapping of any one residual block points, from an input end of anyone residual block, to an output end of any one residual block; and performing the face retrieval in a face database according to the target face feature information to obtain a face retrieval result, wherein the face retrieval result at least comprises an identity marker matched with the target face feature information. By adopting the face retrieval method and apparatus, the face retrieval is realized on the basis of the deep residual network, the retrieval accuracy of the deep residual network is not prone to influence by external factors, the face retrieval method is excellent in stability, and the face retrieval accuracy is also ensured.

Description

technical field [0001] The present invention relates to the technical field of deep learning, in particular to a face retrieval method, device, storage medium and equipment. Background technique [0002] Face retrieval is an emerging biometric technology that combines computer image processing knowledge and biostatistics knowledge. It currently has broad application prospects. It is widely used in schools, hospitals, commercial streets, hotels, dining and entertainment venues, office buildings, elevators and other places. [0003] Most of the current face retrieval systems are implemented based on traditional machine learning, such as face retrieval methods based on eigenfaces, iterative algorithms based on the combination of histogram or color and other features, etc. [0004] The retrieval accuracy of face retrieval methods based on traditional machine learning is easily affected by external factors. The poor stability of the retrieval method leads to insufficient retrie...

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Problems solved by technology

[0005] The embodiment of the present invention provides a face retrieval method, device, storage medium and equipment, which solves the problem in the related art that the face retrieval method has poor stability and leads to low retrieval accuracy

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