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

Image clustering method and device, electronic equipment and storage medium

An image clustering and image technology, applied in the field of computer vision, can solve problems such as illumination, expression, occlusion, and difference in clarity of face pictures

Active Publication Date: 2019-05-24
SHENZHEN SENSETIME TECH CO LTD
View PDF16 Cites 25 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, face images in practical applications have differences in posture, illumination, expression, occlusion, clarity and other factors. These problems pose a very difficult challenge to face clustering.

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
  • Image clustering method and device, electronic equipment and storage medium
  • Image clustering method and device, electronic equipment and storage medium
  • Image clustering method and device, electronic equipment and storage medium

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0107] Various exemplary embodiments, features, and aspects of the present disclosure will be described in detail below with reference to the accompanying drawings. The same reference numbers in the figures indicate functionally identical or similar elements. While various aspects of the embodiments are shown in drawings, the drawings are not necessarily drawn to scale unless specifically indicated.

[0108] The word "exemplary" is used exclusively herein to mean "serving as an example, embodiment, or illustration." Any embodiment described herein as "exemplary" is not necessarily to be construed as superior or better than other embodiments.

[0109] The term "and / or" in this article is just an association relationship describing associated objects, which means that there can be three relationships, for example, A and / or B can mean: A exists alone, A and B exist simultaneously, and there exists alone B these three situations. In addition, the term "at least one" herein mean...

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 an image clustering method and apparatus, an electronic device and a storage medium. The method comprises the steps of obtaining a face feature and an attribute feature corresponding to each image in an image set; performing clustering processing on the image set by using the similarity of the face features of the images to obtain at least one first class group, the imagesincluded in each first class group being predicted images including the same object; determining a similarity matrix for each first class group by using the face features and the attribute features of each image in each first class group; and on the basis of the similarity matrix corresponding to each first type of group and the face feature of each image in each first type of group, re-clustering each image in each first type of group to obtain at least one second type of group, the images in the second type of groups being optimized and predicted images with the same object. The image clustering precision can be improved.

Description

technical field [0001] The present disclosure relates to the field of computer vision, and in particular to an image clustering method and device, electronic equipment and a storage medium. Background technique [0002] Face clustering is a classic problem in computer vision. Its purpose is to divide massive face data according to identity, and bring together face pictures belonging to the same person. Face clustering has a very important value in the application of multiple fields. For example, in the field of mobile phones and other terminals, face clustering can classify photos of people according to their identities, which is convenient for users to view; in the field of security, face clustering also has very important applications, for example, it can realize one person one file population management, etc. However, face images in practical applications have differences in posture, illumination, expression, occlusion, clarity and other factors. These problems pose a 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): G06K9/00G06K9/62G06V10/771
CPCG06N3/08G06N20/00G06V40/172G06V10/454G06V10/82G06V10/771G06V10/761G06V10/763G06N3/042G06N3/045G06F18/2113G06F18/22G06F18/23213G06V40/168G06F18/21G06F18/2413G06N3/02G06F17/16G06F18/214
Inventor 徐静赵瑞
Owner SHENZHEN SENSETIME TECH 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