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

Method for recognizing persons in pictures

A person recognition and photo technology, applied in character and pattern recognition, special data processing applications, instruments, etc., can solve the problems of forgetting shooting information, waste of manpower and material resources, etc., to save photo management time, facilitate re-management, and improve quality. Effect

Inactive Publication Date: 2014-01-08
DALIAN NATIONALITIES UNIVERSITY
View PDF4 Cites 13 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

After the photos taken by the digital camera are transferred to the computer through the digital storage device, the photos need to be post-processed. The post-processing includes photo modification, beautification, and classified storage. Beautification, such as: Photoshop software, but in classification storage management, there is no effective software product to automatically classify a large number of photos through recognition technology, and store and manage them by category. The existing photo recognition technology is still in its infancy and can only be achieved through Man-made operations, one by one to identify, classify, and store one by one, waste a lot of manpower and material resources; most of the photos are now travel photos, and tourists are very tired when they return. If the photos are classified and managed at this time, it is not conducive to physical rest. Reply, if you classify and manage the photos in the future, it is easy to forget the shooting information at that time. At present, there is no effective product to solve the above problems

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

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0026] In order to better understand the technical problems solved by the present invention and the technical solutions provided, the present invention will be further described in detail below in conjunction with the accompanying drawings and embodiments. The specific embodiments described here are only used to explain the implementation of the present invention, but not to limit the present invention.

[0027] In a preferred embodiment, a method for identifying people in a photo includes:

[0028] S1. The client submits a request for processing photos to the photo recognition system;

[0029] S2. The photo recognition system receives the request, and first classifies the request according to the number of people in the face profile, that is, the number of people included in the photo;

[0030] S3. The photo recognition system stores the photos of the same number of people in a hierarchical directory by default;

[0031] S4. The photo recognition system then recognizes the ...

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 picture processing, in particular to a method for recognizing persons in pictures. The method includes the steps that a client side submits a picture processing request to a picture recognition system; the system receives the request, person number classification is conducted according to face contours, and number hierarchical storage is conducted on pictures with the same person number by the system according to default settings; the system recognizes the face contour of the first person on the left side in the pictures with the same person number, firstly, the included angle between the face contour of the first person and the plane is judged, the face contour of the first person is rotated to the planar face contour, and then simulated skeleton images are generated; face contours and the positions and contours of the five sense organs in the simulated skeleton images are recognized, and then corresponding parameters are generated; the system names the persons according to the corresponding parameters and conducts hierarchical storage according to the names of the persons; cyclic recognition is conducted until the person on the rightmost person in the pictures is recognized. By the application of software products, information of the persons in the pictures can be automatically massively recognized, the pictures can be conveniently classified and managed, and the quality of picture management is improved.

Description

technical field [0001] The invention relates to the technical field of photo processing, in particular to a method for identifying people in a photo. Background technique [0002] With the advancement of science and technology and the further development of electronic technology, more and more people like to use digital cameras to take pictures or videos. Digital cameras have digital access modes, interactive processing with computers, real-time shooting, convenient storage and calling, and convenient post-processing. It is widely used due to its processing characteristics. A digital camera is a camera that utilizes an electronic sensor to convert optical images into electronic data. English is: Digital Still Camera (DSC), referred to as: Digital Camera (DC), also known as digital camera or digital camera. The principle of digital cameras and ordinary cameras is different from the principle of recording images by chemical changes of silver bromide on film. The sensor of dig...

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): G06F17/30G06K9/62
CPCG06F16/583G06F18/22
Inventor 周庆健焦佳
Owner DALIAN NATIONALITIES UNIVERSITY
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