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Close-range image straight-line segment matching method

A matching method and technology of straight line segments, applied in image analysis, image enhancement, graphics and image conversion, etc., can solve problems such as difficult to obtain matching results and weak consistency

Active Publication Date: 2017-05-24
LIAONING TECHNICAL UNIVERSITY
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  • Abstract
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  • Claims
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Problems solved by technology

However, in the matching process, the parallel support domains of straight segments used to construct the target straight segment on the reference image and the candidate straight segment descriptor on the search image are directly centered on the two. For images with scale changes or perspective changes, the consistency of information contained in the two linear support domains is weak, so it is difficult for this descriptor to obtain reliable matching results for images with scale changes or perspective changes

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Embodiment Construction

[0067] An embodiment of the present invention will be described in detail below in conjunction with the accompanying drawings.

[0068] Such as figure 1 As shown, a kind of close-range image line segment matching method of the present invention comprises the following steps:

[0069] Step 1: Input the two close-range images of the reference image and the search image and the coordinates of the same point of the two close-range images;

[0070] The set of points with the same name is in, and are the coordinates of the same-name point of the reference image and the search image respectively, k is the index number of the same-name point, k=1, 2, ..., K, and K is the number of the same-name point;

[0071] Step 2: Extract straight line segments from the reference image and the search image respectively;

[0072] Use the straight line extraction algorithm to extract straight line segments from the reference image and the search image respectively, and remove the lines whose...

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Abstract

The invention provides a close-range image straight-line segment matching method, which belongs to the technical field of close-range photogrammetry and computer vision. The close-range image straight-line segment matching method comprises the steps of: extracting straight-line segments; determining a candidate straight-line segment set of a target straight-line segment; establishing a parallel supporting domain of the target straight-line segment, and establishing a candidate straight-line segment plane supporting domain based on the parallel supporting domain of the target straight-line segment; calculating an Euclidean distance between a target straight-line segment feature descriptor and a candidate straight-line segment feature descriptor; and determining a homonymous straight-line segment of the target straight-line segment according to the Euclidean distance, so as to obtain a homonymous straight-line pair set of a reference image and a searched image. The close-range image straight-line segment matching method determines the candidate straight-line segment plane supporting domain by utilizing an epipolar constraint, constructs the descriptors based on the candidate straight-line segment plane supporting domain, enhances the effectiveness of the descriptors, performs regional affine transformation on the parallel supporting domains of the target straight-line segment and the candidate straight-line segments, realizes reliable matching of image straight-line segments of different sales, improve the limitation of the existing descriptors, and is suitable for close-range image straight-line segment matching of different types such as translation, rotation, blur and illumination.

Description

technical field [0001] The invention belongs to the technical field of close-range photogrammetry and computer vision, and in particular relates to a method for matching straight line segments of close-range images. Background technique [0002] Image matching refers to using a certain matching algorithm to find features with the same name on two or more images covering the same area or the same feature, and to establish the corresponding relationship between features with the same name on different images. In man-made target scenes, straight line features contain richer semantic and structural information. Therefore, using the straight line information on the image to reconstruct the 3D model of artificial ground objects has important research significance in the fields of close-range photogrammetry and computer vision. is its key core technology. [0003] At present, scholars at home and abroad have proposed many straight line matching methods. The research focus of exis...

Claims

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Application Information

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IPC IPC(8): G06T3/00G06T7/30
CPCG06T2207/10004G06T3/147
Inventor 王竞雪张雪熊俊
Owner LIAONING TECHNICAL UNIVERSITY
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