Multi-view image bidirectional matching strategy with constrained object information

A multi-view image and object-space information technology, which is applied in photo interpretation, photogrammetry/video metrology, and measurement devices, can solve the problems of lack of validity verification of the independent use of object-space and image-space information matching results, and achieve Solve the low efficiency, ensure time efficiency and solve the effect of too many mismatching points

Inactive Publication Date: 2014-02-26
NANJING NORMAL UNIVERSITY
View PDF4 Cites 22 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0006] The purpose of the present invention is to propose a two-way matching strategy for multi-view images constrained by object-side information in order to solve the p

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
  • Multi-view image bidirectional matching strategy with constrained object information
  • Multi-view image bidirectional matching strategy with constrained object information
  • Multi-view image bidirectional matching strategy with constrained object information

Examples

Experimental program
Comparison scheme
Effect test

Example Embodiment

[0027] The present invention will be further described in detail below in conjunction with specific embodiments and with reference to the drawings.

[0028] According to the imaging model of the image and the input object information on the ground, the present invention first performs forward matching of multi-view images constrained by object information, so as to use the information redundancy between the multi-view images to improve the reliability of the calculation of the matching similarity measure ; Then, perform reverse matching of multiple single stereo images on the multi-view image forward matching result to effectively eliminate many mismatch points in the forward matching result and improve the accuracy of the multi-view image matching result.

[0029] Such as figure 1 As shown, the two-way matching strategy for multi-view images constrained by object information includes three parts: (1) Determine the object search interval of the point to be matched; (2) Forward matc...

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 multi-view image bidirectional matching strategy with constrained object information. The multi-view image bidirectional matching strategy comprises the following steps: performing multi-view image forward matching of the constrained object information according to an imaging model of the image and the input ground object information so as to improve the reliability of matching similarity measurement and calculation by utilizing the information redundancy between the multi-view images; and performing backward matching of multiple independent stereoscopic images on the multi-view image forward matching result so as to effectively eliminate multiple matching points in the forward matching result, and improve the accuracy of the multi-view image matching result. The matching process of each point to be matched is not influenced in the matching strategy, the matching strategy is a parallel matching strategy, and high-efficiency parallel matching of multiple points to be matched is promoted. According to the method, the operating efficiency and the result reliability of multi-view image dense matching can be effectively improved, and the problems that the efficiency is low and multiple mismatching points exist in a traditional multi-view image matching method for matching single stereoscopic image and fusing multiple matching results are solved.

Description

technical field [0001] The invention belongs to the fields of photogrammetry, computer vision and geographic information systems, and relates to the determination of the search range, matching propagation and elimination of wrong matching results in the process of multi-view image matching. Background technique [0002] Image matching is a key technology for many information extraction based on digital images, such as remote sensing image change detection, multi-source image fusion, digital photogrammetry, aircraft real-time navigation, missile precision guidance, image database retrieval, image-based 3D reconstruction, target Recognition and tracking, etc. Automatic and accurate image matching is an important prerequisite and guarantee for automatic, efficient and accurate extraction of subsequent information. The purpose of image matching is to find one or more transformations in the transformation space, so that two or more images of the same scene from different times, d...

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): G01C11/00G01C11/04
CPCG01C11/00G01C11/06
Inventor 张卡盛业华闾国年刘学军
Owner NANJING NORMAL UNIVERSITY
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