Point cloud scene object extracting method

A technique for extracting methods and scenes, applied in interdisciplinary fields

Inactive Publication Date: 2015-06-10
XIAN UNIV OF TECH
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  • Summary
  • Abstract
  • Description
  • Claims
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Problems solved by technology

[0011] The object of the present invention is to provide a method for extracting point cloud scene objects, which solves the problem that the prior art can only extract specific objects or extract objects from aerial LiDAR point cloud data containing fewer objects

Method used

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  • Point cloud scene object extracting method
  • Point cloud scene object extracting method

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Embodiment Construction

[0081] The present invention will be described in detail below in conjunction with the accompanying drawings and specific embodiments.

[0082] The point cloud scene data of the present invention such as figure 1 Shown, a kind of point cloud scene object extraction method of the present invention, concrete implementation steps are:

[0083] Step 1. Use the distribution of point cloud data on the Gaussian sphere, and use the mean shift algorithm to roughly segment the point cloud data. The specific implementation steps are:

[0084] Step 1.1. Calculate the normal vector of the point cloud using the principal component analysis method

[0085] For any point p in the point cloud, find k neighboring points of point p The third-order covariance matrix M of point p is:

[0086] M = 1 k Σ i = 1 k ( ...

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Abstract

The invention discloses a point cloud scene object extracting method. The point cloud scene object extracting method specifically comprises the steps of 1 utilizing the distribution situation of point cloud data on a Gaussian sphere and utilizing a mean shift algorithm to conduct coarse segmentation on the point cloud data; 2 adopting a distance based point clustering method to conduct fine segmentation on the point cloud data subjected to coarse segmentation; 3 utilizing the nature and curvature information of the Gaussian sphere to conduct shape recognition on the point cloud data subjected to fine segmentation; 4 correcting the point cloud data subjected to shape recognition. The point cloud scene object extracting method can be applied to extraction of point cloud scenes including complex objects not just extraction of specific objects in the scenes or object extraction conducted on aviation LiDAR data including few objects.

Description

technical field [0001] The invention belongs to the interdisciplinary technical field of combining computer graphics and pattern recognition, and relates to a point cloud scene object extraction method. Background technique [0002] Object extraction from point cloud scenes has always been an important research area in computer graphics and pattern recognition. Traditional extraction methods are mostly for a single object, so it is difficult to apply to point cloud scenes containing complex objects. [0003] Due to the large-scale, large-scale, and massive nature of point cloud data, the scene contains a wealth of objects with different characteristics. In addition, there are occlusions between objects when scanning the scene, which makes it impossible for each object in the scene to get more information. The scanning of the azimuth causes the point cloud data corresponding to the object to be incomplete. This makes object extraction from point cloud scenes difficult. [...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T7/00
Inventor 王映辉郝雯宁小娟石争浩赵明华周红芳
Owner XIAN UNIV OF TECH
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