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

Image recognition method, device and mobile terminal

A mobile terminal and image technology, applied in the field of image processing, can solve problems such as time-consuming, value decline, and poor user experience

Active Publication Date: 2017-07-07
成都汇亿诺嘉文化传播有限公司
View PDF4 Cites 18 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, if there are multiple target images with high similarity in the scanned picture, if the accuracy of the image recognition algorithm is not high enough, the wrong target image may be identified. If a more complex algorithm is used to improve the accuracy, then The running cost is high, which will cause the recognition process to take a long time, and will bring a bad experience to the user
Especially for AR books, in addition to the above-mentioned problems, there may also be a problem that the value of the target image and the corresponding AR book itself will decrease by scanning and copying the target image for identification.

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

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0026] Hereinafter, exemplary embodiments of the present disclosure will be described in more detail with reference to the accompanying drawings. Although exemplary embodiments of the present disclosure are shown in the drawings, it should be understood that the present disclosure can be implemented in various forms and should not be limited by the embodiments set forth herein. On the contrary, these embodiments are provided to enable a more thorough understanding of the present disclosure and to fully convey the scope of the present disclosure to those skilled in the art.

[0027] figure 1 It is a block diagram of the mobile terminal 100. The mobile terminal 100 may include a memory interface 102, one or more data processors, an image processor and / or a central processing unit 104, and a peripheral interface 106.

[0028] The memory interface 102, the one or more processors 104, and / or the peripheral interface 106 may be discrete components or integrated in one or more integrated...

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 recognition method, device and a mobile terminal. The mobile terminal comprises a data storage device which stores an image matching set corresponding to a target recognition object, the image matching set comprises a target characteristic set and a corresponding characteristic set to be verified. The method comprises a step of starting a camera to scan a picture to be identified, a step of obtaining an image of the picture to be identified in a scanning area, a step of extracting the characteristic point of the image to generate the characteristic set to be recognized, a step of obtaining an image matching set from the data storage device, and carrying out characteristic matching on the characteristic set to be recognized and the target characteristic set in the image matching set, a step of carrying out characteristic matching on characteristic set to be recognized and a verification characteristic set corresponding to a successfully matched target characteristic set to calculate a verification matching degree if the matching is successful, and a step of determining a target recognition object corresponding to the image matching set included in the picture to be identified if the verification matching degree exceeds a first threshold.

Description

Technical field [0001] The present invention relates to the technical field of image processing, in particular to an image recognition method, device and mobile terminal. Background technique [0002] With the development of image processing and related technologies, more and more people are engaged in the research of AR (Augmented Reality) technology. AR technology is a scene synthesis based on reality, adding a part of information to expand the data in people's hands, applying virtual information to the real world, combining the real environment and virtual objects into the same space and scene in real time , The same screen involves multiple technologies such as image recognition, image matching, three-dimensional modeling, video display and control, and can be used in many fields such as teaching, advertising, retail, medical health and entertainment games. [0003] For example, in the teaching field, AR products, led by AR books, have developed more rapidly. AR books, as the...

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
IPC IPC(8): G06K9/00G06K9/46
CPCG06V20/20G06V10/462
Inventor 郭艳
Owner 成都汇亿诺嘉文化传播有限公司
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