Inclined image linear feature matching method based on local structure and topological geometric constraints
A technology of straight line features and local structure, applied in the field of image matching, can solve problems such as difficulty in matching straight line features of oblique images
Active Publication Date: 2020-07-28
SOUTHWEST JIAOTONG UNIV
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[0008] In order to solve the above-mentioned problems in the prior art, the purpose of the present invention is to provide a linear feature matching method that is jointly constrained by local structure and topological geometry, which solves the problem of difficulty in linear feature matching caused by significant viewing angle changes of oblique images
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[0112] Embodiments of the present invention are described in detail below, examples of which are shown in the drawings, wherein the same or similar reference numerals designate the same or similar elements or elements having the same or similar functions throughout. The embodiments described below by referring to the figures are exemplary and are intended to explain the present invention and should not be construed as limiting the present invention.
[0113] In the description of the present invention, it should be understood that the terms "first" and "second" are used for description purposes only, and cannot be interpreted as indicating or implying relative importance or implicitly indicating the quantity of indicated technical features. Thus, a feature defined as "first" and "second" may explicitly or implicitly include one or more of these features. In the description of the present invention, "plurality" means two or more, unless otherwise specifically defined.
[0114]...
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The invention belongs to the technical field of image matching in remote sensing image processing, and particularly relates to an inclined image linear feature matching method based on local structureand topological geometric constraints. According to the technical scheme, the inclined image linear feature matching method based on local structure and topological geometric constraints comprises the following steps: a) extracting and merging linear features; b) grouping linear features; c) carrying out initial matching on the linear feature group of the local structure constraint; d) expandingand matching a linear feature group jointly constrained by a local structure and topological geometry; according to the linear feature matching method based on local structure and topological geometrycombined constraint, the problem that linear feature matching is difficult due to the fact that the obvious visual angle of an inclined image changes is solved. The linear feature matching method based on local structure and topological geometry combined constraint has the advantages of being simple in structure, easy to implement and high in practicability.
Description
technical field [0001] The invention belongs to the technical field of image matching in remote sensing image processing, and in particular relates to a linear feature matching method of oblique images constrained by local structure and topological geometry. Background technique [0002] Oblique photogrammetry can simultaneously acquire multi-view image information of buildings from different angles, and is widely used in urban 3D model reconstruction. At present, 3D reconstruction based on oblique images mainly obtains 3D point cloud data through image dense matching to reconstruct 3D models of buildings. The 3D model constructed by densely matching point cloud data can better express the overall outline information of the building, but the model has serious problems such as edge deformation and missing. In view of the fact that buildings contain a large number of straight-line features, these straight-line features contain rich structural information and can well express ...
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IPC IPC(8): G06K9/00G06K9/46G06K9/62
CPCG06V20/176G06V10/443G06V10/507G06F18/22
Inventor 陈敏严少华赵怡涛朱庆
Owner SOUTHWEST JIAOTONG UNIV