Face false detection filtering method and system, electronic device and storage medium

Abstract

The invention relates to a human face false detection filtering method and system, an electronic device and a storage medium, and the method comprises the steps: detecting human face key points in anRGB image through a human face key point detection model, and enabling the human face key points to comprise a left eye center, a right eye center, a nose center, a left mouth corner and a right mouthcorner; obtaining a module a of a vector a from the center of the nose to the center of the left eye, a module b of a vector b from the center of the nose to the center of the right eye, a module c of a vector c from the center of the nose to the left mouth corner and a module d of a vector d from the center of the nose to the right mouth corner; calculating the difference between a and b and thedifference between c and d to obtain values of a-b and c-d; and judging a face detection result of the RGB image by comparing the absolute value of the value of a-b and the absolute value of the value of c-d with a preset threshold value. According to the invention, the problems of large amount of detection network parameters used for face detection, incapability of being applied to the equipmentend and complex false detection filtering method in the prior art are solved, the detection speed and the detection precision are improved, and the method is simple and easy to operate.

Description

technical field [0001] The present application relates to the field of artificial intelligence, in particular to a method, system, electronic device and storage medium for false face detection and filtering. Background technique [0002] Face detection refers to the classification of input images into human faces or non-human faces through the model, which belongs to the binary classification problem, while false detection refers to non-human faces being considered as human faces. With the development of technology, face detection methods are constantly updated. However, whether it is a traditional method or a method based on deep learning, the problem of false detection of face detection always exists. [0003] In related technologies, on the one hand, the face detection method uses a large amount of detection network parameters, which makes it impossible to apply to the device side; on the other hand, the false detection filtering method used in the face detection method i...

AI Technical Summary

Problems solved by technology

[0005] The embodiment of the present application provides a method, system, electronic device and storage medium for false detection and filtering of faces, which at least solves the problem of the large amount of detection network parameters used in face detection in the related art, which cannot be applied to the device side, and the complex method of false detection and filtering The problem

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