Human face image finding method and device, computer device and storage medium

Abstract

The invention discloses a human face image finding method. The method comprises the following steps: to obtain a to-be-found human face image; extracting to-be-found human face features of the to-be-found human face image; according to a Euclidean distance or a cosine distance, calculating the similarity of the to-be-found human face features and the human face features of a human face image in atarget database, to obtain a to-be-selected set of the human face features which satisfy the preset conditions of the similarity of the to-be-found human face features; according to a similarity measure function obtained by the machine learning, re-calculating the similarity of the to-be-found human face features and the human face features in the to-be-selected set; according to the re-calculatedsimilarity, to obtain the preset number of the human face features from the set from high to low, and returning the human face image represented by the preset number of the human face features. The invention further discloses a human face image finding device, a computer device and a readable storage medium. The method is capable of improving the accuracy rate and the efficiency of the human faceimage finding.

Description

technical field [0001] The invention relates to the technical field of image recognition, in particular to a face image search method and device, a computer device and a storage medium. Background technique [0002] The face image search technology refers to comparing a given face picture with the image in the target database, and output several face images similar to the given face image. Face image search technology can be widely used in scenes such as fugitive tracking, target deployment and control, and missing person search. With the wide application, the data in the target database will continue to increase, and the target database will have a data scale of tens of millions or even hundreds of millions. In such a large-scale target database, there are often face images similar to a given face image, which will also make it difficult to distinguish face images that are too similar, and it is difficult to search for face images. The accuracy and efficiency of the searc...

AI Technical Summary

Problems solved by technology

In such a large-scale target database, there are often face images similar to a given face image, which will also make it difficult to distinguish face images that are too similar, and it is difficult to search for face images. The search accuracy and efficiency may be reduced, which will increase the difficulty of fugitive tracking, target control, and missing person search in practical applications, which is not conducive to the application and promotion of face image search technology

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