Supercharge Your Innovation With Domain-Expert AI Agents!

Face key point detection model training method, detection method and device and terminal equipment

A technology for face key points and model training, applied in the field of computer vision and face recognition, can solve problems such as difficult to ensure accurate and rapid detection, achieve the effect of improving accuracy and generalization ability, improving detection speed, and eliminating time-consuming effects

Pending Publication Date: 2022-02-18
南京行者易智能交通科技有限公司
View PDF0 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

At present, face key point detection methods mainly include traditional methods based on ASM (Active Shape Model) and AAM (Active Appearance Model), methods based on CSR (Cascaded Shape Regression), and methods based on deep learning, but the existing methods are difficult to guarantee Rapid detection without compromising accuracy

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 model training method, detection method and device and terminal equipment
  • Face key point detection model training method, detection method and device and terminal equipment
  • Face key point detection model training method, detection method and device and terminal equipment

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0057] In order to clarify the technical solution and working principle of the present invention, the embodiments of the present disclosure will be further described in detail below in conjunction with the accompanying drawings.

[0058] All the above optional technical solutions may be combined in any way to form optional embodiments of the present disclosure, which will not be repeated here.

[0059] The terms "step 1", "step 2", "step 3" and other similar descriptions in the description and claims of this application and the above drawings are used to distinguish similar objects, not necessarily to describe a specific order or sequence order. It should be understood that the data so used may be interchanged under appropriate circumstances such that, for example, the embodiments of the application described herein can be practiced in sequences other than those described herein.

[0060] First aspect: the embodiment of the present disclosure provides a model training method ...

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 key point detection model training method, a face key point detection method and device and terminal equipment, and the method comprises the steps: 1, collecting an original image containing a face, marking N face key point coordinates, and constructing an original training set; 2, obtaining a face region frame, and carrying out the random amplification of the face region frame, and obtaining a constructed augmented training set; 3, carrying out image preprocessing on the augmented data set; 4, acquiring an Euler angle label of the augmented data set image; and 5, training the face key point detection model, and carrying out face key point detection based on the network obtained by the model training method, so that the detection speed can be improved under the condition of ensuring the precision.

Description

technical field [0001] The invention relates to the technical fields of computer vision and face recognition, in particular to a model training method, detection method, device, and terminal equipment for face key point detection. Background technique [0002] The focus of face key point detection is to locate the key points of a given face image. The key points are artificially defined and used to represent certain points on the facial features and contours. How to accurately and efficiently locate key points is an important prerequisite for face analysis and recognition. At present, face key point detection methods mainly include traditional methods based on ASM (Active Shape Model) and AAM (Active Appearance Model), methods based on CSR (Cascaded Shape Regression), and methods based on deep learning, but the existing methods are difficult to guarantee Fast detection with high precision. Contents of the invention [0003] In order to overcome the deficiencies of the pr...

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 Applications(China)
IPC IPC(8): G06V40/16G06V10/774G06K9/62
CPCG06F18/214
Inventor 林坚周金明
Owner 南京行者易智能交通科技有限公司
Features
  • R&D
  • Intellectual Property
  • Life Sciences
  • Materials
  • Tech Scout
Why Patsnap Eureka
  • Unparalleled Data Quality
  • Higher Quality Content
  • 60% Fewer Hallucinations
Social media
Patsnap Eureka Blog
Learn More

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

© 2025 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com