Multi-view image bidirectional matching strategy with constrained object information

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...

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 problems of independent use of object-side and image-side information in existing multi-view image matching strategies and lack of validity verification of matching results

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