A fast image search and self-printing method based on face image clustering and recognition technology

A face image, self-service printing technology, applied in the direction of character and pattern recognition, digital output to printing unit, input/output process of data processing, etc., can solve the problems of difficult implementation, difficult photos, and unfixed number of photos, etc. To achieve the effect of increasing income, friendly interaction ability, ensuring system feasibility and reliability

Active Publication Date: 2019-05-24
GUANGDONG MICROPATTERN SOFTWARE CO LTD
View PDF5 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

This is a great proposition and business opportunity, but it is more difficult to realize
Because the subject is not fixed and the number of photos is huge, it is very difficult and inefficient to manually select photos

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
  • A fast image search and self-printing method based on face image clustering and recognition technology
  • A fast image search and self-printing method based on face image clustering and recognition technology
  • A fast image search and self-printing method based on face image clustering and recognition technology

Examples

Experimental program
Comparison scheme
Effect test

Embodiment

[0025] The image quick search and self-service printing method based on cluster analysis and face recognition technology disclosed in the embodiment of the present invention mainly includes the following steps:

[0026] S1, offline image preprocessing; S2, online face image retrieval; S3, face image display and self-service printing, such as figure 1 shown. Among them, the offline image preprocessing stage includes face encoding and face image clustering. In the online face image retrieval stage, face recognition technology is used to measure the similarity between on-site faces and each category in the face clustering library, and find the most similar top clusters. In the stage of face image display and self-service printing, firstly, the search results are grouped and displayed; if the tourist clicks on the group he is interested in, the image of the group clicked by the user will be displayed in full screen; in the full screen display, if the user checks his favorite ima...

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 method for fast image search and self-service printing based on face image clustering and recognition technology. This method uses face image clustering analysis and face recognition technology to automatically search and play images related to on-site spectators, and can provide the function of self-printing images, mainly including: offline face image clustering; online face retrieval ; Image display and self-printing. Among them, offline image clustering is mainly to perform secondary clustering on the captured images according to time and face similarity; online face retrieval adopts a pyramid multi-layer face retrieval scheme; image display and self-service printing include on-site personnel related image display and Smart play, self-service payment and printing functions. The invention solves the problems of slow speed, high cost and low efficiency of manually searching and printing the customer's favorite image, and can be widely used in facial image retrieval and self-service printing where customers cannot take pictures in playgrounds such as rafting, roller coaster, snowboarding and sailing.

Description

technical field [0001] The invention relates to the technical fields of image processing, pattern recognition and computer vision, in particular to a fast image search and self-service printing method based on face image clustering and recognition technology. Background technique [0002] With the improvement of people's material living conditions and the increasingly convenient transportation, there are more and more outdoor recreation activities. After enjoying the fun of outdoor play, people often hope to record the wonderful moments on the way as souvenirs, posting to Moments and memories. However, during the rafting, torrenting, mine car, pirate ship, space shuttle rafting, roller coaster, cable car and cableway, the players themselves cannot use camera equipment to take pictures, so the current entertainment venues need to provide a service, that is, in different There will be photographers in the scenic spots to take pictures of the tourists, record their various sta...

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 Patents(China)
IPC IPC(8): G06F16/583G06K9/62G06F3/12
CPCG06F3/1287G06F16/583G06F18/2321
Inventor 陈友斌廖海斌
Owner GUANGDONG MICROPATTERN SOFTWARE 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

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