Three-dimensional point cloud reconstruction method based on improved shield poisson algorithm

A 3D point cloud and algorithm technology, applied in the field of 3D reconstruction, can solve the problems affecting the surface reconstruction effect, inappropriate pseudo-surface, etc., and achieve the effect of overcoming the inconsistency of normal direction, efficient search, and remarkable texture details

Inactive Publication Date: 2017-05-31
GUILIN UNIV OF ELECTRONIC TECH
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Problems solved by technology

[0002] 3D point cloud reconstruction of object surfaces is a hot research issue in computer graphics. Because equipment and acquisition methods will produce point clouds that contain a variety of defects that can cause surface reconstruction methods, it poses a major challenge to 3D reconstruction.
However,

Method used

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  • Three-dimensional point cloud reconstruction method based on improved shield poisson algorithm
  • Three-dimensional point cloud reconstruction method based on improved shield poisson algorithm
  • Three-dimensional point cloud reconstruction method based on improved shield poisson algorithm

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Embodiment

[0053] refer to figure 1 , based on a modified masked Poisson algorithm, converts the surface reconstruction of point clouds into a spatial Poisson problem. Using the intrinsic relationship between the directed point set on the surface of the model and the gradient of the indicator function (points inside the model are defined as 1 and points outside the model are 0), the surface integral is approximated by linear summation of the directed point set, and then through the three-dimensional The gradient field of the indicator function calculates the indicator function, and finally obtains the reconstructed surface by extracting the appropriate isosurface. If the gradient field is calculated directly, the vector field will be infinitely large at the edge of the model surface, so the convolution operation is performed through a smoothing filter function and an indicator function first, and then the gradient field using the smoothed function is used.

[0054] The following is the ...

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Abstract

The invention discloses a three-dimensional point cloud reconstruction method based on improved shield poisson algorithm. The method comprises the following steps: obtaining a three-dimensional point cloud data of a model; introducing shielding factor, and preprocessing the constraint of the poisson algorithm by the constraint of the introduction point and the gradient; using the octree segmentation to simplify the denoising of the point cloud, compressing the storage, establishing the inter-cloud topology, and realizing the fast establishment and efficient searching of the octagonal tree neighbor nodes; normalizing each point cloud vector to reduce the ambiguity of normal direction; calculating the vector field; solving poisson equation to get instruction function; on point cloud equivalent surface extraction, getting three-dimensional reconstruction model. The method of the three-dimensional point cloud reconstruction method based on improved shield poisson algorithm has the advantages of improving the normal vector precision, removing the pseudo-closed surface well, and being well filled with the hole, and the detail of the object is rich. The method can be widely used in the fields of reverse engineering, cultural restoration, and medical image.

Description

technical field [0001] The invention relates to the field of three-dimensional reconstruction, in particular to a three-dimensional point cloud reconstruction method based on an improved masked Poisson algorithm. Background technique [0002] 3D point cloud reconstruction of object surfaces is a hot research issue in computer graphics. Because equipment and acquisition methods will produce point clouds that contain a variety of defects that can cause surface reconstruction methods, it poses a major challenge to 3D reconstruction. [0003] Normal information is an important property of surface reconstruction, and its accuracy determines the accuracy of reconstruction algorithms. Due to the lack of topological connections between point cloud data, there are certain difficulties in normal vector estimation and reorientation. For the estimation of normal direction, there are mainly three types: methods based on Delaunay / Voronoi, methods based on robust statistics and methods ba...

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Application Information

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IPC IPC(8): G06T17/30
CPCG06T17/30
Inventor 欧阳宁杨碧伟林乐平莫建文陈利霞首照宇张彤袁华
Owner GUILIN UNIV OF ELECTRONIC TECH
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