Simple face recognition online learning method based on deep learning model

A technology of deep learning and face recognition, which is applied in the field of simple face recognition online learning, can solve the problems of face recognition technology that requires repeated training models, achieve good face detection and identity authentication effects, easy to use, easy to add and delete Effect

Pending Publication Date: 2021-02-26
湖北芯楚光电科技有限公司
View PDF2 Cites 3 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] In view of the above problems, the object of the present invention is to provide a simple face recognition online learning method based on a deep learning model, which aims to solve the technical problem that the existing face recognition technology needs to repeatedly train the model when an error case occurs

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
  • Simple face recognition online learning method based on deep learning model

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0025] In order to make the object, technical solution and advantages of the present invention clearer, the present invention will be further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described here are only used to explain the present invention, not to limit the present invention.

[0026] In order to illustrate the technical solutions of the present invention, specific examples are used below to illustrate.

[0027] figure 1 The flow of the simple face recognition online learning method based on the deep learning model provided by the embodiment of the present invention is shown, and only the parts related to the embodiment of the present invention are shown for convenience of description.

[0028] Such as figure 1 As shown, the described simple face recognition online learning method based on the deep learning model provided in this embodiment comprises the following steps...

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 is applicable to the technical field of computer vision, and provides a simple face recognition online learning method based on a deep learning model. Face feature vectors and identity label information are stored by using files capable of adding data types, such as hdf5 and the like; the human face feature vectors and the corresponding identity tags are added to the local human facefeature vector library with the same index, so that members are added and deleted more simply and conveniently, the trouble of re-collecting samples and training again in a traditional method is solved, and the method is simple to operate, easy to master, remarkable in effect. The updating of the local face feature vector library does not need to carry out face feature extraction on all local members again, only face feature extraction is carried out on newly added personnel, and the face feature vectors and the identity label information of the newly added members are added to the local facefeature vector library. And the updating of the local face feature vector library is greatly facilitated.

Description

technical field [0001] The invention belongs to the technical field of computer vision, and in particular relates to a simple face recognition online learning method based on a deep learning model. Background technique [0002] Facial recognition refers to biometric technology that uniquely identifies or verifies a person by comparing and analyzing patterns based on their facial contours. After decades of development, face recognition technology has become more and more mature, and its application scope has become more and more extensive. However, because the face is different from fingerprints, irises and other biological characteristics, its changes are diverse, and it is also affected by illumination, posture, and occlusion. The accuracy of face recognition is difficult to guarantee. In order to increase the robustness of the algorithm, it is necessary to update the model. But for traditional methods, model update means resampling and then training the model, which is v...

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): G06K9/00G06K9/62G06N3/08
CPCG06N3/08G06V40/172G06V40/168G06F18/214
Inventor 夏卫生栾聪聪李国鑫张进叶唐丽文
Owner 湖北芯楚光电科技有限公司
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

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

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap