Cone structure characteristic parameter detection method based on point cloud data processing technology

A technology of structural feature parameters and point cloud data, applied in image data processing, instruments, 3D modeling, etc., can solve the problem of low efficiency in measuring cones, and achieve the effects of improving measurement efficiency, reducing measurement errors, and quickly measuring

Inactive Publication Date: 2017-12-01
河北燕大燕软信息系统有限公司
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Measuring cones is less efficient due to hi...

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  • Cone structure characteristic parameter detection method based on point cloud data processing technology
  • Cone structure characteristic parameter detection method based on point cloud data processing technology
  • Cone structure characteristic parameter detection method based on point cloud data processing technology

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[0020] refer to figure 1 , Figure 2(a) to Figure 2(e) , in conjunction with examples, the specific solutions of the present invention are further described.

[0021] A kind of cone structure feature parameter detection method based on point cloud data processing technology of the present invention, the steps are as follows:

[0022] Step 1: Use a high-precision space scanner to scan the cone and obtain the point cloud data of the cone.

[0023] Use high-precision space scanning equipment to scan the cone to obtain the position information of each point on the cone in the xyz three-dimensional space, and use the obtained position information of the cone in the xyz three-dimensional space to form the point cloud data of the cone.

[0024] Step 2: Use the Delaunay grid division method to process the point cloud data of the cone obtained in step 1, and construct the TIN grid model of the cone point cloud data.

[0025] Use the Delaunay mesh division method to process the point...

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Abstract

The invention provides a cone structure characteristic parameter detection method based on a point cloud data processing technology. Firstly, high-precision scanning is carried out on the cone in three-dimensional space, the point cloud data are acquired, and a Delaunay grid partitioning method is used to build a TIN (Triangulated Irregular Network) grid model for the obtained point cloud data of the cone; then, the least square fitting method is used to calculate each point in the nearest neighborhood point set of each space point in the point cloud data of the cone, and the nearest neighborhood plane normal vector of each space point in the point cloud data of the cone is acquired; a distribution law of the nearest neighborhood plane normal vector of each space point in the point cloud data of the cone in normal vector space is further acquired; and then, whether a tested model is a cone model is judged, and if yes, the tested model is extracted, that is, the cone structure characteristic parameters comprising a cone angle, a cone height and a bottom radius are extracted.

Description

【Technical field】 [0001] The invention relates to the technical field of three-dimensional point cloud data processing, in particular to a method for detecting characteristic parameters of a cone structure based on point cloud data processing technology. 【Background technique】 [0002] The cone is a typical model in the quadric surface model, which has a relatively regular quadric surface and spatial axisymmetric structural characteristics. A cone is a very common measured object in the field of shape detection. How to quickly and accurately identify a cone and obtain its structural characteristic parameters (cone angle, cone height, bottom circle radius) is an important problem that needs to be solved urgently in the field of precise measurement of geometric shapes in three-dimensional space. [0003] At present, the methods used to detect the characteristic parameters of the cone structure are mainly direct measurement methods, including vernier caliper measurement, angle...

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Application Information

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IPC IPC(8): G06T7/50G06T7/60G06T7/62G06T17/20
CPCG06T7/50G06T7/60G06T7/62G06T17/20G06T2207/10028G06T2207/20024
Inventor 孔德明田小强王霄沈阅
Owner 河北燕大燕软信息系统有限公司
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