A structure-adaptive wide baseline image view angle invariant linear feature matching method

Abstract

The invention discloses a structure-adaptive wide baseline image view angle invariant linear feature matching method, and belongs to the field of remote sensing image processing. The method comprisesthe steps of extracting reference image linear features and search image linear features from a reference image and a search image respectively, and compiling the reference image linear features and the search image linear features into a plurality of reference image linear feature groups and a plurality of search image linear feature groups; based on the reference image straight line feature group and the search image straight line feature group, carrying out view angle invariant straight line feature initial matching, and estimating a epipolar geometrical relationship between the reference image and the search image; Based on the kernel line geometrical relationship, carrying out secondary matching on the reference image straight line feature group and the search image straight line feature group which are not successfully matched, and carrying out single straight line feature matching on the reference image straight line feature group and the search image straight line feature groupwhich are not successfully matched; and combining all the three matching results to obtain a final matching result. According to the straight line feature matching method with the invariable visual angle, the number of matched straight line features is effectively increased, and the accuracy rate is effectively increased.

Description

technical field [0001] The invention belongs to the field of remote sensing image processing, and in particular relates to a structure-adaptive wide-baseline image viewing angle-invariant line feature matching method. Background technique [0002] With the continuous improvement of image resolution, most of the artificial objects on the image, such as buildings and roads, can be described by straight line features. The straight line feature is located on the edge of the target contour, contains rich semantic information and geometric meaning, can better express the target structure, reflect the high-level information of the image and the target scene, and use the straight line feature as a matching primitive for feature matching in fine 3D modeling of images, etc. important in application. [0003] After years of development, researchers have proposed a large number of line feature matching methods suitable for different scenarios. According to the difference of constraint...

AI Technical Summary

Problems solved by technology

The above methods based on feature descriptors have a common deficiency: when there is a large change in viewing angle between the stereo pairs and the depth of the object in the image area changes significantly, the regular feature areas in these methods and the feature descriptions built on this basis The robustness of symbols is poor, which affects the final matching results

However, in this method, the symmetrical feature area constructed around the intersection point of the line feature pair is difficult to adapt to the geometric deformation of the image area with discontinuous parallax on the wide baseline image (such as the edge of the building, etc.)

Part of the image content in the feature area is difficult to maintain consistency under the change of image viewing angle, resulting in low similarity of feature descriptors with the same name

In addition, the method of finding salient points on straight line features is susceptible to the inconsistency of the lengths of straight lines with the same name, resulting in unreliable feature descriptors constructed

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