Face selection method, device and equipment and computer readable storage medium

A face and face recognition technology, applied in computer parts, calculations, instruments, etc., can solve problems such as poor accuracy of results and mistakenly delete real results, and achieve the effect of ensuring accuracy and ensuring accurate output.

Pending Publication Date: 2021-07-09
PINGAN INT SMART CITY TECH CO LTD
View PDF0 Cites 1 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0008] The present invention provides a face selection method, device, electronic equipment and computer-readable storage medium. Remove issues such as the likelihood of real results

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Face selection method, device and equipment and computer readable storage medium
  • Face selection method, device and equipment and computer readable storage medium
  • Face selection method, device and equipment and computer readable storage medium

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0030] It should be understood that the specific embodiments described here are only used to explain the present invention, not to limit the present invention.

[0031] The invention provides a face selection method. refer to figure 1 As shown, it is a schematic flow chart of a face selection method provided by an embodiment of the present invention. The method may be performed by a device, and the device may be implemented by software and / or hardware.

[0032] In this embodiment, the face selection method includes:

[0033] Step S110 , performing face confidence calculation processing on each face in the scene picture with at least two faces to obtain the face confidence.

[0034] Specifically, devices for face recognition, such as sign-in devices, software with face recognition functions, such as Alipay's face-scanning payment, etc., when face recognition is performed, the pictures in the current scene are obtained through the camera device, from In the current scene pic...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

No PUM Login to view more

Abstract

The invention relates to an artificial intelligence technology, and discloses a face selection method, which comprises the following steps: performing face confidence calculation processing on each face in a scene picture to obtain a face confidence; selecting human faces with human face confidence higher than a preset human face confidence threshold from the scene picture to obtain a first human face set and a human face confidence set of the first human face set; determining a self-adaptive confidence coefficient threshold value through a real face confidence coefficient floating range; selecting human faces with human face confidence higher than an adaptive confidence threshold from the first human face set as a second human face set; and selecting the face occupying the largest area in the scene picture from the second face set as a face selection result of the face recognition object. The invention also relates to a block chain technology, and the preset face confidence threshold value is stored in the block chain. The problems that in the prior art, the accuracy of a face selection result used for face recognition is poor, and the possibility of deleting a real result by mistake exists can be solved.

Description

technical field [0001] The present invention relates to the field of artificial intelligence, in particular to a face selection method, device, electronic equipment and computer-readable storage medium. Background technique [0002] Face recognition is a biometric technology for identification based on human facial feature information. A series of related technologies that use a video camera or camera to collect images or video streams containing human faces, automatically detect and track human faces in the images, and then perform facial recognition on the detected faces, usually also called portrait recognition and facial recognition. . Face recognition is divided into 1:1 face recognition and 1:N face recognition. 1:1 face recognition is to compare a base map photo with a face in a picture to be compared to determine whether It's the same person. [0003] Face detection is an essential step in face recognition. In the process of face detection, there are many detecti...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
IPC IPC(8): G06K9/00
CPCG06V40/165
Inventor 赵振兴曹锋铭
Owner PINGAN INT SMART CITY TECH CO LTD
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products