Image recognition method, device and terminal

An image recognition and image technology, applied in the field of image processing, can solve the problem of low accuracy of face image recognition

Inactive Publication Date: 2016-02-17
XIAOMI INC
View PDF5 Cites 24 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] The present disclosure provides an image recognition method, device, and terminal to solve the problem of low recognition accuracy of face images captured under different light sources in the above-mentioned related technologies

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 recognition method, device and terminal
  • Image recognition method, device and terminal
  • Image recognition method, device and terminal

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0086] Reference will now be made in detail to the exemplary embodiments, examples of which are illustrated in the accompanying drawings. When the following description refers to the accompanying drawings, the same numerals in different drawings refer to the same or similar elements unless otherwise indicated. The implementations described in the following exemplary examples do not represent all implementations consistent with the present disclosure. Rather, they are merely examples of apparatuses and methods consistent with aspects of the present disclosure as recited in the appended claims.

[0087] The terminology used in the present disclosure is for the purpose of describing particular embodiments only, and is not intended to limit the present disclosure. As used in this disclosure and the appended claims, the singular forms "a", "the", and "the" are intended to include the plural forms as well, unless the context clearly dictates otherwise. It should also be understood...

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 recognition method, an image recognition device and an image recognition terminal. The image recognition comprises the steps of: acquiring a first class light source image and a second class light source image to be recognized; respectively inputting the first class light source image and the second class light source image to a trained convolutional neural network model, and determining a first feature of the first class light source image and a second feature of the second class light source image; and inputting class parameters corresponding to the first feature and the second feature to a trained classification model to recognize image classes, wherein the image classes are used for indicating whether an object contained in the first class light source image is consistent with an object contained in the second class light source image. By applying the image recognition method, the image recognition device and the image recognition terminal, the first class light source image and the second class light source image are subjected to classification and recognition through the trained convolutional neural network model and the trained classification model, and whether the object contained in the first class light source image is consistent with the object contained in the second class light source image can be recognized quickly and accurately.

Description

technical field [0001] The present disclosure relates to the technical field of image processing, and in particular to an image recognition method, device and terminal. Background technique [0002] With the development of image processing technology, users have higher and higher requirements for identifying the attributes of people in images. As a network structure in the neural network, the convolutional neural network gradually constitutes a related technology that is widely used in image processing and other fields, and can efficiently identify the attributes of people. This related technology can use the trained convolutional neural network to integrate The face images taken under the same light source are classified and recognized by human attributes such as age and gender. [0003] However, the above-mentioned related technologies have low recognition accuracy for face images captured under different light sources. Contents of the invention [0004] The present di...

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): G06K9/00
CPCG06V40/172
Inventor 张涛汪平仄张胜凯
Owner XIAOMI INC
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