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Feature point extraction method and device, image reconstruction method and device

An extraction method and feature point technology, which is applied in the field of image processing, can solve problems such as uneven distribution, clustering of feature points, and affecting the accuracy of image processing results, and achieve the effect of improving distribution uniformity and preventing clustering

Pending Publication Date: 2021-12-24
GUANGZHOU XAIRCRAFT TECH CO LTD
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  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The commonly used feature point extraction methods are prone to the problem of clustering and uneven distribution of feature points, especially for repetitive texture scenes, this problem is more serious
Unevenly distributed feature points will directly affect the accuracy of subsequent image processing results

Method used

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  • Feature point extraction method and device, image reconstruction method and device
  • Feature point extraction method and device, image reconstruction method and device
  • Feature point extraction method and device, image reconstruction method and device

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Embodiment Construction

[0031] The following will clearly and completely describe the technical solutions in the embodiments of the application with reference to the drawings in the embodiments of the application. Apparently, the described embodiments are only some, not all, embodiments of the application. Based on the embodiments in this application, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the scope of protection of this application.

[0032] Application overview

[0033] Farmland mapping and reconstruction generally extract feature points from the input image, generate data correlations between multiple frames of images based on the feature points, then estimate the relative motion between frames (between images), and finally use BundleAdjustment (bundle adjustment method) to optimize Camera pose and 3D scene structure.

[0034] Under the condition that the expected number of feature points is M, the commonly used feature poi...

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Abstract

The invention provides a feature point extraction method and device, and an image reconstruction method and device. The feature point extraction method comprises the steps of determining the number of multiple feature points preliminarily extracted for an input image; when the number of the plurality of feature points is greater than the expected number of feature points, performing first grid division on the input image based on a spatial division method to obtain K first grids, and K is greater than or equal to the expected number of feature points; determining the number of feature points of each first grid in the K first grids, and when the number of the feature points of the first grids is larger than 1, determining the statistical confidence score of each feature point based on the distance between each feature point in the first grids and the center of the first grids; and screening the feature points of the first grid based on the statistical confidence score of each feature point to obtain the feature point with the highest statistical confidence score in the first grid. According to the method, the distribution uniformity of the feature points can be improved.

Description

technical field [0001] The present application relates to the technical field of image processing, and in particular to a feature point extraction method, an image reconstruction method and a device. Background technique [0002] In computer vision, the image processing process is an extremely important link, and in the image processing process, the extraction of feature points is a crucial step. Since the feature points can represent the content of the image, the extraction of feature points is widely used in the fields of moving target tracking, object recognition, image registration, panoramic image stitching, 3D reconstruction, etc. The commonly used feature point extraction methods are prone to the problem of clustering and uneven distribution of feature points, especially for repetitive texture scenes, this problem is more serious. Unevenly distributed feature points will directly affect the accuracy of subsequent image processing results. Contents of the invention ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/46G06K9/62G06T17/20
CPCG06T17/205
Inventor 叶培楚曾宪贤
Owner GUANGZHOU XAIRCRAFT TECH CO LTD
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