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A Lightweight Polygon Surface Reconstruction Method for Point Cloud

A technology for surface reconstruction and polygons, used in 3D modeling, details involving processing steps, image enhancement, etc.

Active Publication Date: 2021-08-24
视缘(上海)交通科技有限公司
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Problems solved by technology

[0004] The technical problem to be solved by the present invention is to propose a light-weight polygonal surface reconstruction method for point clouds, which solves the problem that it is difficult to obtain real expressions of real world objects from point clouds with noisy points and incomplete points. problem

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  • A Lightweight Polygon Surface Reconstruction Method for Point Cloud
  • A Lightweight Polygon Surface Reconstruction Method for Point Cloud
  • A Lightweight Polygon Surface Reconstruction Method for Point Cloud

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[0062] In order to make the purpose, technical solutions and advantages of the present invention clearer, the present invention will be further described in detail below in conjunction with the examples. The schematic implementations and descriptions of the present invention are only used to explain the present invention, and are not regarded as the basis of the present invention. limit.

[0063] see Figure 1-Figure 4 , a point cloud lightweight polygonal surface reconstruction method, including the following steps:

[0064] S1. Input a set of point clouds P (which can be acquired by sensors or scanning devices).

[0065] S2. Generation of candidate planes;

[0066] S21. Utilize the RANSAC algorithm to detect the plane on the point cloud surface: utilize the RANSAC (sampling consistency) algorithm to detect the plane in the point cloud P, and use S={s for a group of planes detected i} means, s i is a set of point sets, the distance between adjacent points is less than the...

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Abstract

The invention discloses a point cloud lightweight polygonal surface reconstruction method, which solves the problem that it is difficult to obtain a true expression of real world objects from a point cloud with noise points and incompleteness. The method mainly includes: S1, using a scanning device to obtain a point cloud P of an object surface space, and obtaining an original point cloud; S2, generating a candidate plane; S3, selecting a plane. The optimal subset of candidate surfaces is selected by the binary linear programming formula, and finally the polygonal surface model with manifold and watertightness is reconstructed.

Description

technical field [0001] The invention relates to a point cloud lightweight polygonal surface reconstruction method, which belongs to the three-dimensional surface reconstruction technology in computer vision. Background technique [0002] 3D reconstruction refers to the establishment of a mathematical model suitable for computer expression and processing of 3D objects. It is the basis for processing, operating and analyzing its properties in a computer environment, and is also a key technology for establishing a virtual reality that expresses the objective world in a computer. The so-called reconstruction refers to the work of restoring the three-dimensional structure and original shape of the object after using sensors or other equipment to obtain sampling data based on computer vision, pattern recognition and visualization technologies. It includes the collection, integration, splicing and expression of three-dimensional data. At present, important digital equipment in meas...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06T17/30
CPCG06T17/30G06T2200/08G06T2207/10028
Inventor 骞志彦张斌王国强陈学伟
Owner 视缘(上海)交通科技有限公司
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