Face detection acceleration method and system, computer equipment and storage medium

A face detection and computer program technology, applied in the field of face recognition, can solve problems such as poor user experience, too many model parameters, and long time consumption

Pending Publication Date: 2021-02-05
杭州艾芯智能科技有限公司
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  • Application Information

AI Technical Summary

Problems solved by technology

[0003] The existing face detection technology usually uses deep learning technology to train the model to automatically identify the position of the face in the image, and most of these models have too many model parameters, or the detection process is too complicated although the model parameters are few For example, in ord...

Method used

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  • Face detection acceleration method and system, computer equipment and storage medium
  • Face detection acceleration method and system, computer equipment and storage medium
  • Face detection acceleration method and system, computer equipment and storage medium

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Embodiment Construction

[0039] In order to make the purpose, technical solution and advantages of the present application clearer, the present application will be further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described here are only used to explain the present application, and are not intended to limit the present application.

[0040] The face detection acceleration method provided by this application can be applied to such as figure 1 shown in the application environment. Wherein, the terminal 102 communicates with the server 104 through the network. Wherein, the terminal 102 can be, but not limited to, various personal computers, notebook computers, smart phones, tablet computers, etc., and the server 104 can be realized by an independent server or a server cluster composed of multiple servers.

[0041] In one embodiment, such as figure 2 As shown, a face detection acceleration method is pr...

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Abstract

The invention relates to a face detection acceleration method and device, computer equipment and a storage medium. The method comprises the following steps of acquiring a face image, setting a minimumdetection face pixel, and determining a zooming factor according to the minimum detection face pixel, zooming the face image for multiple times according to the zooming factor to obtain a plurality of detection images in a picture pyramid shape, splicing the remaining detection images except the detection image with the largest area in the detection images to generate a spliced image, and sendingthe detection image with the largest area in the detection images and a spliced image generated by splicing a plurality of detection images into a PNET network as two input images for detection. Theimage obtained by splicing the image zoomed for the first time and the image zoomed for the remaining time is input into the MTCNN model in turn for only two times of detection, which is far less thanthe original 7-11 times of detection, so that the acceleration effect is achieved.

Description

technical field [0001] The present application relates to the technical field of face recognition, in particular to a face detection acceleration method, system, computer equipment and storage medium. Background technique [0002] Face detection refers to searching for any given image with a certain strategy to confirm whether there is a face in the image, and if so, return the size and position information of the face in the image. The current face recognition system that is widely used in people's daily life: face payment in daily transactions, face recognition used in station security checks and other technologies are all based on the detection of faces before subsequent liveness detection and detection. Face recognition detection. Therefore, face detection technology is not only the basis of face recognition, but also one of the key links of face recognition. [0003] The existing face detection technology usually uses deep learning technology to train the model to aut...

Claims

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Application Information

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IPC IPC(8): G06K9/00G06T3/40G06N3/04
CPCG06T3/4038G06V40/161G06N3/045
Inventor 方利红黄乙凇包建意陈波徐韡
Owner 杭州艾芯智能科技有限公司
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