Face recognition method, device and facility based on structured analysis dictionary

Abstract

The embodiment of the invention discloses a face recognition method, device and facility based on a structured analysis dictionary and a computer storage medium. The face recognition method comprisesthe steps of inputting a face training sample set and a face testing sample set into a face recognition model, and performing parameter initialization on the face recognition model, wherein the face recognition model comprises a plurality of sub-classifiers, and each sub-classifier corresponds to a category in the face training sample set; performing structured dictionary learning on each categoryof data sets contained in the face training sample set to obtain a sub-dictionary of each category of data sets and corresponding sub-sparse codes; performing approximate analysis on the sub-sparse codes of each category of data sets to obtain a sub-projection of each sub-sparse code; training each sub-classifier in the face recognition model according to each sub-projection and the face trainingsample set; and performing classification and recognition on the face testing sample set by using each sub-classifier in the face recognition model. The technical scheme of the invention effectivelyimproves the efficiency and accuracy of face recognition.

Description

technical field [0001] Embodiments of the present invention relate to the technical fields of computer vision and image recognition, in particular to a face recognition method, device, device and computer storage medium based on a structured analysis dictionary. Background technique [0002] With the continuous development of computer technology and intelligence, face recognition has become a very important research topic in computer vision and pattern recognition. Face recognition digitizes the face image by computer, then analyzes the face image to locate the face, and obtains the facial features of the face, which is of great significance in the fields of access control systems, camera surveillance systems and smart phones. Once the research is successful and invested Application will produce huge social and economic benefits. [0003] However, the process of face recognition is difficult, and the existing face recognition methods based on dictionary learning consume a l...

AI Technical Summary

Problems solved by technology

Although the above methods have good results, they do not consider the relationship between different categories of data, resulting in low accuracy of face recognition.

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