Face key point detection method, device and equipment and storage medium

A face key point and detection method technology, applied in 3D object recognition, instrument, character and pattern recognition, etc., can solve the problem of inaccurate 3D face key point positioning results, and achieve the effect of improving accuracy

Active Publication Date: 2020-02-18
TENCENT TECH (SHENZHEN) CO LTD
View PDF4 Cites 10 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] However, for the face key point detection in the 3D face model, if the above-mentioned face key point detection algorithm is used, the 3D face model is directly processed and analyzed, and finally the 3D face key point in the 3D face model is obtained. Positioning results, the positioning results of 3D face key points obtained in this way are not accurate enough

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 key point detection method, device and equipment and storage medium
  • Face key point detection method, device and equipment and storage medium
  • Face key point detection method, device and equipment and storage medium

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0039] Reference will now be made in detail to the exemplary embodiments, examples of which are illustrated in the accompanying drawings. When the following description refers to the accompanying drawings, the same numerals in different drawings refer to the same or similar elements unless otherwise indicated. The implementations described in the following exemplary embodiments do not represent all implementations consistent with this application. Rather, they are merely examples of approaches consistent with aspects of the application as recited in the appended claims.

[0040] AI (Artificial Intelligence) is a theory, method, technology and application system that uses digital computers or machines controlled by digital computers to simulate, extend and expand human intelligence, perceive the environment, acquire knowledge and use knowledge to obtain the best results. In other words, artificial intelligence is a comprehensive technique of computer science that attempts to u...

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 embodiment of the invention provides a face key point detection method, device and equipment and a storage medium, and relates to the technical field of artificial intelligence computer vision. The method comprises the following steps: acquiring a three-dimensional face model; projecting the three-dimensional face model from n different visual angles to obtain n two-dimensional face images; detecting corresponding two-dimensional face key points from the n two-dimensional face images; obtaining key point mapping results respectively corresponding to the n two-dimensional face images; and respectively selecting three-dimensional face key points corresponding to the projection view angles from the key point mapping results corresponding to the n two-dimensional face images, and integrating the three-dimensional face key points to obtain a positioning result of the three-dimensional face key points on the three-dimensional face model. According to the technical scheme provided by theembodiment of the invention, the accuracy of detecting the face key points on the three-dimensional face model is improved.

Description

technical field [0001] The embodiments of the present application relate to the technical field of computer vision of artificial intelligence, and in particular to a face key point detection method, device, equipment and storage medium. Background technique [0002] Face key point detection refers to the detection of key points such as eyeball centers, eye corners, nose tips, mouth corners, and face contours from a given face image. [0003] In related technologies, for the face key point detection of two-dimensional face images, there are relatively mature technologies, such as: ASM (Active Shape Model, active shape model) algorithm, AAM (Active Appearance Model, active appearance model) algorithm , CPR (Cascaded Pose Regression, cascaded posture regression) algorithm, machine learning algorithm, etc. Through the above-mentioned human face key point detection algorithm, the two-dimensional human face image is processed and analyzed, and finally the positioning result of th...

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
CPCG06V20/64G06V40/172G06V40/168
Inventor 林祥凯
Owner TENCENT TECH (SHENZHEN) 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