Unlock instant, AI-driven research and patent intelligence for your innovation.

A face detection method based on mobile phone front-view camera

A technology of living body detection and camera, applied in the field of face recognition, can solve the problems of unusability, high cost, large size, etc., and achieve the effect of high security, high accuracy, and risk reduction.

Active Publication Date: 2021-02-05
GUANGZHOU YUNCONG ARTIFICIAL INTELLIGENCE TECH CO LTD
View PDF5 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, structured light equipment is expensive and bulky, and cannot be used on current mobile devices

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
  • A face detection method based on mobile phone front-view camera

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0029] The preferred embodiments of the present invention will be described in detail below in conjunction with the accompanying drawings, so that the advantages and features of the present invention can be more easily understood by those skilled in the art, so as to define the protection scope of the present invention more clearly.

[0030] Such as figure 1 Shown: a kind of human face detection method based on mobile phone front view camera, it is characterized in that:

[0031] Take the following steps,

[0032] Step 1: collect face images through the mobile phone camera device, and detect the faces;

[0033] Step 2: the recognition module extracts key points of the face from the collected face image;

[0034] Among the key points of the face, select the key points that meet the characteristics of the corner points as the calibration points, specifically select six key points, which are four corners of the eyes and two corners of the mouth;

[0035] Step 3: Perform optica...

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

A face detection method based on the front-view camera of a mobile phone, adopts the following steps, step 1: collect face images through the mobile phone camera device, and detect the faces; step 2: the recognition module extracts people from the collected face images Key points of the face; select the key points that meet the characteristics of the corner points in the key points of the face as the calibration points, specifically select six key points, which are four corners of the eyes and two corners of the mouth; Step 3: Perform optical flow on the calibration points Tracking, the calibration points that fail to track the optical flow are filtered by the ransac algorithm. The present invention performs non-perceptual living body detection on human faces based on structured light equipment, and has fast detection speed and high accuracy.

Description

technical field [0001] The invention relates to the field of face recognition, in particular to a face liveness detection method based on a front-view camera of a mobile phone. Background technique [0002] With the rise of the trend of artificial intelligence, face recognition technology has become more and more widely used in real life, and has become an important means of personal identification. However, with the convenience and friendliness of face recognition, the face recognition system also has the risk of user identity being impersonated. Criminals use printed paper and masks containing facial information, or play electronic photos, videos, etc. It can achieve the purpose of forging the identity of others. Therefore, face-based liveness detection technology is becoming more and more important and has become an indispensable module of face recognition system. Existing face liveness detection technologies can be divided into two categories according to the liveness ...

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
Patent Type & Authority Patents(China)
IPC IPC(8): G06K9/00
CPCG06V40/171G06V40/45
Inventor 周曦周牧
Owner GUANGZHOU YUNCONG ARTIFICIAL INTELLIGENCE TECH CO LTD