Multi-size fusion face detection method and device and storage medium

Abstract

The embodiment of the invention provides a multi-size fusion face detection method, which comprises the following steps: an initial face picture is input into a backbone network of a VGG16 to obtain aconventional face feature atlas and a face feature atlas to be normalized; each feature image of the face feature map set to be normalized is normalized to obtain a normalized face feature atlas; theconventional face feature atlas and the normalized face feature atlas are merged to obtain a final face feature atlas; feature fusion is carried out on any two adjacent face feature maps in the finalface feature map set to obtain a fused multi-size face feature map; the multi-size face feature map is classified, and each classification result is scored, and the classification result with the highest score is taken as the face detection result. The embodiment of the invention also provides an active interactive device and a non-transient readable storage medium for realizing the method. The invention can reduce the number of times the picture is zoomed in and out, and realize higher face picture detection speed.

Description

technical field [0001] Embodiments of the present invention relate to the technical field of pattern recognition, and in particular to a method, device and storage medium for multi-size fusion face detection. Background technique [0002] Most of today's face detection technologies use image pyramid technology to continuously scale the same image to be detected to deal with the multi-scale detection problems of faces, which will waste a lot of time on unnecessary calculations , resulting in a decrease in detection efficiency. Face detection with multi-size feature fusion detects faces on different size features. This reduces the number of times the image needs to be scaled and passed through the face detector. A higher detection rate can be achieved, and the detection speed is faster at the same time, which provides an effective inspiration for solving the problem of low detection efficiency. Therefore, how to develop a face detection method with multi-size features has b...

AI Technical Summary

Problems solved by technology

[0002] Most of today's face detection technologies use image pyramid technology to continuously scale the same image to be detected to deal with the multi-scale detection problems of faces, which will waste a lot of time on unnecessary calculations , resulting in a decrease in detection efficiency

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