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

Image quick finding and self-service printing method based on facial image clustering and recognizing techniques

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 unfixed number of photos, difficult realization, difficult photos, etc. To achieve the effect of ensuring the feasibility and reliability of the system, increasing income, and friendly interaction capabilities

Active Publication Date: 2016-08-17
GUANGDONG MICROPATTERN SOFTWARE CO LTD
View PDF5 Cites 25 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
  • Image quick finding and self-service printing method based on facial image clustering and recognizing techniques
  • Image quick finding and self-service printing method based on facial image clustering and recognizing techniques
  • Image quick finding and self-service printing method based on facial image clustering and recognizing techniques

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 group image clicked by the user will be displayed in full screen; in the full screen display, if the user checks the image he likes , th...

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 an image quick finding and self-service printing method based on facial image clustering and recognizing techniques. Images related to an on-site watcher are automatically found and played through the facial image clustering analysis technique and the facial recognizing technique, and an image self-service printing function is provided. The method mainly comprises the steps of offline facial image clustering, wherein secondary clustering is mainly conducted on the shot images according to the time and the facial similarity; online facial retrieving, wherein a pyramidal multi-layer facial retrieving scheme is adopted; image displaying and self-service printing, wherein displaying and intelligent playing functions of the images related to site personnel are achieved, and a self-service paying and printing function is achieved. According to the method, the problems that the manual finding and printing speed of the favorite images of customers is low, the cost is high, and the efficiency is low are solved, and the method can be widely applied to facial image retrieving and self-service printing in the occasion such as a drifting pleasure ground, a roller coaster pleasure ground, a skiing pleasure ground and a sailing pleasure ground where the customers cannot take pictures.

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 commemoration, 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...

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): G06F17/30G06K9/62G06F3/12
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 Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products