Target-matching object recognition method and device and storage device

A technology for object recognition and target matching, applied in the field of pattern recognition, can solve problems such as image deformation and poor robustness, achieve good recognition effect and enhance robustness

Inactive Publication Date: 2018-05-08
CHINA UNIV OF GEOSCIENCES (WUHAN)
View PDF4 Cites 2 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, the Fourier descriptor is less robust to image description in a two-dimensional plane, and canno

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
  • Target-matching object recognition method and device and storage device
  • Target-matching object recognition method and device and storage device
  • Target-matching object recognition method and device and storage device

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0013] In order to make the purpose, technical solutions and advantages of the present invention more clear, the following will further describe the implementation of the present invention in conjunction with the accompanying drawings, and the specific technical details mentioned below, such as: methods, equipment, etc., are only to make readers better Understanding the technical solution does not mean that the present invention is limited to the following technical details.

[0014] Embodiments of the present invention provide an object recognition method, device and storage device for target matching. see figure 1 , figure 1 It is an overall flow chart of the object recognition method for target matching in the embodiment of the present invention, the method is implemented by hardware devices, and the specific steps include:

[0015] S101: Establish a three-dimensional model of the target object.

[0016] S102: Generate a multi-view picture library of the 3D model, the mu...

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 provides a target-matching object recognition method and device and a storage device. The method comprises the steps that a three-dimensional model of a target object is established; a multi-view picture base of the three-dimensional model is generated; Fourier descriptors of picture contours in the picture base are calculated, and a matching base is generated; a real-time object image is acquired, and the image is preprocessed to obtain a comparison image; and the comparison image is matched with an image in the matching base, and a matching result is finally generated. The target-matching object recognition device and the storage device are used for implementing the method. Through the target-matching object recognition method and device and the storage device, good robustness is achieved while the expected object image is effectively recognized.

Description

technical field [0001] The invention relates to the field of pattern recognition, in particular to an object recognition method, device and storage device for target matching. Background technique [0002] In the automatic target recognition technology, the recognition of object shape is the focus of research in the field of pattern recognition, and it is widely used in the field of machine vision. To recognize the shape of an object, one must first find a way to describe the shape of the object. For different ways of describing shapes, many shape description methods have been proposed. Fourier descriptors are simple and efficient, and have become one of the important methods for recognizing object shapes. However, the Fourier descriptor is less robust to image description in a two-dimensional plane, and cannot solve the deformation problem caused by images viewed from different angles in three-dimensional space. Therefore, how to find an object image recognition method th...

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): G06K9/62
CPCG06V10/752G06F18/22
Inventor 丁华锋林可王静婷张雄伟
Owner CHINA UNIV OF GEOSCIENCES (WUHAN)
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