Vision-based object recognition and positioning method, terminal, and storage medium

A target object and positioning method technology, applied in the field of vision, can solve the problems of difficult identification and positioning of target objects, and achieve the effects of strong practicability, avoiding calculations, and high computing efficiency

Inactive Publication Date: 2018-12-28
苏州中德睿博智能科技有限公司
View PDF6 Cites 8 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] Purpose of the invention: In order to overcome the deficiencies in the prior art, the present invention provides a vision-based target object identification and positioning method, terminal and storage medium, aiming at solving the difficulty in accurate identification and positioning of complex-shaped target objects in the current technology The problem

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
  • Vision-based object recognition and positioning method, terminal, and storage medium
  • Vision-based object recognition and positioning method, terminal, and storage medium
  • Vision-based object recognition and positioning method, terminal, and 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. In the following description, use of suffixes such as 'module', 'part' or 'unit' for denoting elements is only to facilitate description of the present invention, and has no pre-set meaning by itself. Therefore, 'module', 'part' or 'unit' may be used in combination.

[0039] In addition, the technical features involved in the various embodiments of the present invention described below may be used with each other as long as they do not conflict with each other.

[0040] The vision-based target object recognition and positioning method of the present invention is executed by terminals with computing processing capabilities, including but not limited to PCs, workstations, servers and other equipment.

[0041] Please refer to the attached figure 1 , the vision-based target object recognition and positioning method of 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 discloses a vision-based target object identification and positioning method, a terminal and a storage medium, comprising: scene image data and scene point cloud data of a current frameof a depth camera are acquired; image recognition is carried out for the scene image data, and the target object is recognized; the target point cloud data corresponding to the target object is distinguished from the scene point cloud data; plane segmentation is carried out for the points contained in the target point cloud data, and the planes contained in the target object in the current frame are extracted; the target surface is selected from the extracted planes; the posture of the target object is calculated based on the target surface. The technical scheme of the invention adopts first image recognition, then the point cloud is analyzed and processed, and finally the complex object is accurately identified and located by calculating the pose of the target surface with features, whichavoids the complex calculation. The method has the advantages of small calculation amount, high computational efficiency and strong practicability.

Description

technical field [0001] The invention relates to the field of vision technology, in particular to a vision-based target object recognition and positioning method, terminal and storage medium. Background technique [0002] With the introduction and rapid development of artificial intelligence, machine vision as an important branch of image technology has been used in many fields. Machine vision technology strives to automatically analyze images in real time and identify the required information, and achieve real-time monitoring and timely feedback. [0003] In the industrial field, it is often necessary to carry out automatic handling, automatic loading and unloading, etc. for the same target object. Due to the randomness of the placement of each target object, traditional automatic handling or loading and unloading devices must be manually assisted to accurately align the target object. Carrying, otherwise, there may be dangerous situations such as inaccurate handling parts ...

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): G06K9/32G06K9/34G06K9/46G06K9/62
CPCG06V10/255G06V10/267G06V10/462G06F18/214
Inventor 叶壮孙波李民张晓雪张霄峰
Owner 苏州中德睿博智能科技有限公司
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