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A scale-invariant multi-view dense matching method for oblique images

A scale-invariant, oblique image technology, applied in the field of surveying and mapping science, can solve problems such as large differences in viewing angles, large differences in scales, and a large number of occluded areas, and achieve the effect of solving scale differences and ensuring reliability.

Active Publication Date: 2022-02-11
北京中测智绘科技有限公司
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Problems solved by technology

[0004] The purpose of the present invention is to provide a scale-invariant multi-view dense matching method for oblique images, which overcomes the difficulties caused by the dense matching of oblique images due to large scale differences, large differences in viewing angles, and a large number of occluded areas, and can be applied to high-precision City 3D Modeling

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  • A scale-invariant multi-view dense matching method for oblique images
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[0015] The technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some of the embodiments of the present invention, not all of them. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.

[0016] Embodiments of the present invention provide a scale-invariant multi-view dense matching method for oblique images, such as figure 1 As shown, the method adopts the strategy of pyramid matching, and the matching result of the upper pyramid is imported into the lower pyramid for matching constraints. In the embodiment of the present invention, the number of pyramid layers can be set to 3 layers. The method mainly includes the following steps: ...

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Abstract

The invention discloses a scale-invariant multi-view dense matching method for oblique images. Due to the problems of large scale differences, large viewing angle changes, and serious occlusions in oblique images, it is difficult to densely match images. The multi-view image matching algorithm proposed by the present invention adopts the route of extracting candidate matching points first and then verifying the candidate matching points, and combines left and right bidirectional matching, pyramid and other strategies to ensure the reliability of matching points. The matching window is resampled along the epipolar line, which solves the problem of changing the viewing angle of oblique images. When sampling the matching window along the epipolar line, the sampling window is scaled and adjusted in combination with the ground resolution of the object space point in the current image, which solves the problem of the scale difference of the oblique image.

Description

technical field [0001] The invention relates to the field of surveying and mapping science and technology, in particular to a scale-invariant multi-view dense matching method for oblique images. Background technique [0002] In traditional aerial photogrammetry, the products such as DEM / DSM produced are 2.5-dimensional, which cannot express the information of the position of the side of the building. With the increasing demand for high-precision city 3D models in digital cities, smart cities and other application fields, oblique photography technology has developed rapidly. [0003] Oblique photography is to increase the camera equipment in the direction of oblique view on the basis of traditional vertical aerial photography. The most common is the five-lens camera system, which is to shoot forward, backward, left, right and downward at the same time. The side-view camera of oblique photography can obtain information such as the sides of buildings that are difficult to capt...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06T7/33G06T7/50G06T17/20G01C11/00
CPCG06T7/33G06T7/50G06T17/20G01C11/00G06T2207/20016
Inventor 熊小东朱俊锋曾晓茹
Owner 北京中测智绘科技有限公司
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