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Method and device for constructing dense point cloud based on base station target segmentation

A target segmentation and base station technology, applied in the field of 3D reconstruction, can solve the problem of low accuracy of manually removing outliers

Pending Publication Date: 2021-07-16
CM INTELLIGENT MOBILITY +2
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] In view of this, the embodiments of the present invention provide a method and device for constructing a dense point cloud based on base station object segmentation, to solve the problem of low accuracy in manually removing outliers in the prior art

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  • Method and device for constructing dense point cloud based on base station target segmentation
  • Method and device for constructing dense point cloud based on base station target segmentation
  • Method and device for constructing dense point cloud based on base station target segmentation

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Embodiment Construction

[0044] In order to better understand the technical solutions of the present invention, the embodiments of the present invention will be described in detail below in conjunction with the accompanying drawings.

[0045] It should be clear that 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 creative efforts fall within the protection scope of the present invention.

[0046] Terms used in the embodiments of the present invention are only for the purpose of describing specific embodiments, and are not intended to limit the present invention. As used in the embodiments of the present invention and the appended claims, the singular forms "a", "said" and "the" are also intended to include the plural forms unless the context clearly indicates otherwise.

[0047] It should be understood that the term "an...

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Abstract

The invention relates to a method, device and system for constructing a dense point cloud based on base station target segmentation, and the method comprises the steps of obtaining an original image set of a base station, which is shot during the inspection of an unmanned plane; inputting the original images in the original image set sequentially into a pre-trained base station recognition model, wherein the base station recognition model recognizes base stations in the original images and performs mask processing, and a mask image set is obtained; iteratively operating a Grabcut algorithm to segment the mask image set to obtain a segmented base station image set; and constructing a dense three-dimensional point cloud of the base station based on the base station image set and a multi-view dense reconstruction algorithm. The technical scheme provided by the embodiment of the invention is used for solving the problem of low accuracy of manual outer point elimination in the prior art.

Description

【Technical field】 [0001] The invention relates to the technical field of three-dimensional reconstruction, in particular to a method and device for constructing a dense point cloud based on base station object segmentation. 【Background technique】 [0002] The existing 3D modeling outlier removal method generally compares the constructed 3D reconstruction points with the corresponding image, and deletes the 3D reconstruction points falling in the background area. This method has a small scope of application and is suitable for images with complex background information. The effect of outlier elimination after modeling is not very good, and the project volume is large, and most of them are manual methods, and the applicability rate for projects with large data volume is low. [0003] Moreover, communication base stations are located in various cities and regions across the country. Due to the complex and diverse scenarios where the base stations are located, there are scenes w...

Claims

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Application Information

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IPC IPC(8): G06T7/194G06T17/00G06K9/62G06N3/04G06N3/08
CPCG06T7/194G06T17/00G06N3/08G06T2207/10028G06N3/045G06F18/22
Inventor 梁晶晶唐勇刘林施小东
Owner CM INTELLIGENT MOBILITY
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