Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

Face posture recognition method, device and apparatus and storage medium

A face posture and recognition method technology, applied in the field of face recognition, can solve the problem that the neural network model cannot recognize the face posture angle, etc., and achieve the effect of improving accuracy

Pending Publication Date: 2020-01-03
TENCENT TECH (SHENZHEN) CO LTD
View PDF0 Cites 19 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] The embodiment of the present application provides a face posture recognition method, device, equipment and storage medium, which can solve the problem in the related art that the neural network model cannot recognize a relatively accurate face posture angle

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 posture recognition method, device and apparatus and storage medium
  • Face posture recognition method, device and apparatus and storage medium
  • Face posture recognition method, device and apparatus and storage medium

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0037] In order to make the purpose, technical solution and advantages of the present application clearer, the implementation manners of the present application will be further described in detail below in conjunction with the accompanying drawings.

[0038] First of all, the nouns involved in the embodiments of this application are introduced:

[0039] Key points of facial features: It is used to indicate the position of facial features on the face, and the position of each facial feature is a key point. The key points of facial features involved in the embodiment of the present application include the points corresponding to the five positions of the left eye pupil, right eye pupil, nose tip, left mouth corner, and right mouth corner.

[0040] Euler angle (Eulerian angles): refers to a group of three independent angle parameters proposed by Euler to determine the position of a fixed-point rotating rigid body. The embodiment of this application is to establish a rectangular c...

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 discloses a face posture recognition method, device and e apparatus and a storage medium, and belongs to the technical field of face recognition. The method comprises the following steps: acquiring a region image containing a face region; calling a posture angle recognition model to recognize a face posture in the area image, wherein the posture angle recognition model is a machine learning model with face posture angle recognition capability; wherein the posture angle recognition model is obtained by training a sample face image marked with a sample face posture angle, and the sample face posture angle is any angle selected in a circumferential angle range; and obtaining the human face attitude angle output by the attitude angle recognition model, wherein the human face attitude angle comprises a pitch angle, a yaw angle and a roll angle of the human face relative to a shooting position. The human face posture angle is any angle within the range of the circumferential angle.

Description

technical field [0001] The present application relates to the technical field of face recognition, and in particular to a face gesture recognition method, device, equipment and storage medium. Background technique [0002] Face recognition technology is based on the user's facial features to identify the input face image or video stream. This technology first judges whether there is a face in the input image or video stream. If there is a face, it further obtains the information of each face. The information corresponding to the position and size and the position information of each facial organ can extract the identity features contained in the face according to the above information, and compare the recognized face information with the known face information to know the correspondence of the face. user identity. [0003] Face recognition can identify the state of the face according to the user's facial expression or movement, and the movement of the user's head, such as r...

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): G06K9/00G06K9/46G06K9/62G06N3/04G06N3/08
CPCG06N3/084G06V40/174G06V10/40G06N3/045G06F18/214
Inventor 曹赟曹煊赵艳丹甘振业汪铖杰李季檩
Owner TENCENT TECH (SHENZHEN) CO LTD
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic, Popular Technical Reports.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com