Point cloud data Poisson curved surface reconstruction method based on noise classification and MLS

A technology of point cloud data and surface reconstruction, which is applied in image data processing, 3D image processing, instruments, etc.

Active Publication Date: 2018-09-11
NANJING UNIV OF INFORMATION SCI & TECH
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Problems solved by technology

However, using the Poisson equation to reconstruct the surface requires accurate point cloud normal vector information, which puts forward higher requirements on the quality of the point cloud, making it impossible to use the traditional Poisson equation to reconstruct the surface when the quality of the point cloud is low.

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  • Point cloud data Poisson curved surface reconstruction method based on noise classification and MLS
  • Point cloud data Poisson curved surface reconstruction method based on noise classification and MLS
  • Point cloud data Poisson curved surface reconstruction method based on noise classification and MLS

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Embodiment Construction

[0052] This embodiment provides a Poisson surface reconstruction method for point cloud data based on noise classification and MLS, such as figure 1 shown, including the following steps:

[0053] (1) For the point cloud data of the model to be reconstructed, the clipping filter is used to remove the first type of noise points that deviate from the main point cloud.

[0054] Measurement errors in 3D scanning or laser scanning often produce outlier sparse points, known as Type 1 noise points. It specifically includes small and dense point clouds that are far from the center of the large point cloud of the subject, and sparse points that deviate from the point cloud of the subject and are suspended above the point cloud of the subject. Because the clipping method has a good effect in removing obvious outliers and the algorithm is simple, the clipping filter is used to remove the first type of noise. The specific process is as follows. (1.1) For the model point cloud data set t...

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Abstract

The invention discloses a point cloud data Poisson curved surface reconstruction method based on noise classification and MLS, and the method comprises the steps: classifying noise points and introducing the noise points to vector field estimation of a point cloud data isosurface for corresponding smoothing, forming a new sample point, and precisely calculating and correcting a point cloud data normal vector by using moving least squares (MLS), carrying out the surface reconstruction to form a three-dimensional surface with the abundant details, wherein the three-dimensional surface visually approaches to an actual model in a better way. The method effectively achieves the smoothing processing and hole restoration through the more accurate normal information assistance under the conditionthat the original reconstruction precision is not reduced, improves the reconstruction quality of a curved surface, and solves a problem of a non-closed curved surface in the conventional three-dimensional reconstruction technology.

Description

technical field [0001] The invention relates to computer three-dimensional data processing, in particular to a method for reconstructing Poisson surface of point cloud data based on noise classification and MLS. Background technique [0002] In recent years, the 3D point cloud data acquired by 3D scanning or laser scanning equipment has object surface coordinates and attribute information, and there is no need to consider topological relationships during processing, which simplifies the data structure and algorithm complexity. The implicit surface reconstruction algorithm just takes advantage of this advantage to accurately express the surface information of the measured object while reducing the complexity of the surface reconstruction algorithm. Compared with other implicit surface reconstruction algorithms, the Poisson surface reconstruction algorithm can effectively smooth the noise in the scattered point cloud and repair some missing data by combining the advantages of ...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T15/00
CPCG06T15/005
Inventor 张小瑞蔡青孙伟宋爱国
Owner NANJING UNIV OF INFORMATION SCI & TECH
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