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

Image recognition method and device and computer-readable storage medium

An image recognition device and image recognition technology, applied in the field of image recognition, can solve problems such as large amount of calculation

Active Publication Date: 2018-04-20
SHENZHEN ECHIEV AUTONOMOUS DRIVING TECH CO LTD
View PDF7 Cites 16 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] The main purpose of the present invention is to provide an image recognition method, device and computer-readable storage medium, aiming to solve the technical problem of large amount of calculation when performing image recognition through deep learning

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 and device and computer-readable storage medium
  • Image recognition method and device and computer-readable storage medium
  • Image recognition method and device and computer-readable storage medium

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0038] It should be understood that the specific embodiments described here are only used to explain the present invention, not to limit the present invention.

[0039] The main solution of the embodiment of the present invention is: acquire the image to be recognized, and determine the non-interest region in the image to be recognized; obtain the initial resolution of the non-interest region, and determine the non-interest region of the non-interest region The initial resolution is subjected to resolution reduction processing according to preset parameters; the image recognition calculation is performed on the image to be recognized after reducing the resolution of the non-interest area, and the target object is recognized.

[0040] Such as figure 1 as shown, figure 1 It is a schematic diagram of the structure of the terminal to which the device of the hardware operating environment involved in the solution of the embodiment of the present invention belongs.

[0041] Such a...

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. The method includes: acquiring a to-be-recognized image, and determining a region of non-interest in the to-be-recognized image; acquiring initialresolution of the region of non-interest, and carrying out resolution reducing processing on the initial resolution of the region of non-interest according to a preset parameter; and carrying out image recognition calculation on the to-be-recognized image, after reducing the resolution of the region of non-interest, to recognize a target object. The invention also discloses an image recognition device and a computer-readable storage medium. The method can decrease a calculation amount and improve recognition efficiency when image recognition is carried out through deep learning.

Description

technical field [0001] The present invention relates to the technical field of image recognition, in particular to an image recognition method, device and computer-readable storage medium. Background technique [0002] An unmanned vehicle is a kind of intelligent vehicle, which integrates many technologies such as automatic control, architecture, artificial intelligence, and visual computing. It is a product of the highly developed computer science, pattern recognition, and intelligent control technologies. An important symbol of industrial level, it has broad application prospects in the fields of national defense and national economy. [0003] Unmanned vehicles need to have environmental perception capabilities to achieve automatic driving. Environmental perception capabilities include the detection and recognition of vehicles, pedestrians and other targets, which can be realized by calculating the image information captured by the camera module of unmanned vehicles throug...

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): G06K9/00G06K9/32G06K9/46G06K9/62
CPCG06V20/10G06V20/56G06V10/25G06V10/40G06F18/24
Inventor 刘新宋朝忠郭烽
Owner SHENZHEN ECHIEV AUTONOMOUS DRIVING TECH 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

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic, Popular Technical Reports.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com