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

Method and system for selecting number of face clustering samples

A number and clustering technology, applied to the selection method and system field of the number of face clustering samples, can solve the problem of not providing a face clustering sample selection method, and achieve the effect of strong practicability and improved experience effect.

Active Publication Date: 2020-09-11
上海铼锶信息技术有限公司
View PDF7 Cites 5 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The above patent application provides a technical solution for face clustering, but does not provide a selection method for the number of face clustering samples

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
  • Method and system for selecting number of face clustering samples
  • Method and system for selecting number of face clustering samples
  • Method and system for selecting number of face clustering samples

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0023] The present invention will be described in detail below in conjunction with specific embodiments shown in the accompanying drawings. In the drawings, components with the same structure are denoted by the same numerals, and components with similar structures or functions are denoted by similar numerals. The size and thickness of each component shown in the drawings are shown arbitrarily, and the present invention does not limit the size and thickness of each component. In order to make the illustration clearer, the thickness of parts is appropriately exaggerated in some places in the drawings.

[0024] like figure 1 One embodiment of the present invention shown, the present invention provides a kind of selection method of face clustering sample quantity, described method comprises:

[0025] S1, construct a human face test set, and construct multiple human face training sets, the number of human face images of each human face training set is different;

[0026] S2. Clu...

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 relates to the technical field of face recognition, and discloses a method for selecting the number of face clustering samples, and the method comprises the steps: constructing a face test set, and constructing a plurality of face training sets, wherein the number of face images of each face training set is different; clustering the plurality of face training sets to obtain a plurality of corresponding clustering centers; calculating a cosine distance between each clustering center and the feature vector of each face image in the face test set, and obtaining a mean value and a root mean square value of the cosine distance corresponding to each clustering center; and according to the cosine distance mean value and the root-mean-square value corresponding to each clustering center, obtaining the number range of the face clustering samples. Correspondingly, the invention further discloses a system for selecting the number of the human face clustering samples. The invention provides a method for selecting the number of face clustering samples, and a good clustering effect can be ensured.

Description

technical field [0001] The invention relates to the technical field of face recognition, in particular to a method and system for selecting the number of face clustering samples. Background technique [0002] Face recognition technology is a biometric identification technology based on human facial feature information. It uses a camera to collect images or video streams containing human faces, and automatically detects and tracks human faces in the images, and then detects the detected people. A series of related technologies for face recognition. In face recognition products, it is necessary to add multiple face pictures to register the face model. The registered face model is generally a feature vector, and there will be a problem that one person corresponds to multiple face feature vectors, so the face feature vectors need to be clustered so that one person corresponds to a unique feature vector. The purpose of the face clustering algorithm is to cluster the feature vec...

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): G06K9/62G06K9/00
CPCG06V40/168G06V40/172G06F18/211G06F18/24137G06F18/214Y02D10/00
Inventor 薛圆圆
Owner 上海铼锶信息技术有限公司
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