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Improved guided filtering three-dimensional scattered point cloud rapid fairing method

A technology of guided filtering and 3D point cloud, which is applied in image data processing, instruments, calculations, etc., can solve problems such as slow running speed, achieve the effects of improving algorithm speed, shortening computing time, and improving smoothing ability

Active Publication Date: 2020-10-09
XIAN TECHNOLOGICAL UNIV
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Problems solved by technology

[0004] Aiming at the deficiencies of the prior art, the present invention provides an improved fast smoothing method for guided filtering 3D scattered point cloud, thereby solving the problem of slow running speed existing in the prior art

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  • Improved guided filtering three-dimensional scattered point cloud rapid fairing method
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  • Improved guided filtering three-dimensional scattered point cloud rapid fairing method

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Embodiment Construction

[0045] The present invention will be described in further detail below in conjunction with accompanying drawing and specific embodiment:

[0046] see figure 1 , the present invention provides an improved guided filtering three-dimensional scattered point cloud fast smoothing method, comprising the following steps:

[0047] Step 1: Take the rabbit point cloud model of the standard point cloud library of Stanford University as an example, see figure 2 , adding mixed noise to it, denoted as P, the number of point clouds n=40256, see image 3 .

[0048] Step 2: Divide the noisy 3D point cloud data P obtained in Step 1 into N=7 blocks

[0049] The specific operation steps include:

[0050] (2-1) Firstly, it is necessary to sort the point cloud data to be processed according to the Z axis from small to large.

[0051] (2-2) Then calculate the maximum number of point clouds M=5751 according to the formula (1), and then calculate the number of extended processing points m=575 ac...

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Abstract

The invention discloses an improved guided filtering three-dimensional scattered point cloud rapid fairing method. Point cloud data to be processed are arranged according to an axis ascending order; according to the total number of the point clouds and the number of the to-be-partitioned blocks, the maximum point cloud quantity in the to-be-partitioned data is solved; the number of expansion processing points is calculated through the maximum number of point clouds; the point cloud data is partitioned according to the maximum point cloud number and the expansion processing point number in theto-be-partitioned data; when the point cloud data is segmented, the segmented point cloud can generate an overlapping region, the splitting phenomenon generated by the point cloud data can be effectively solved, the operation rate of the segmented point cloud data is improved through parallel three-dimensional guide filtering point cloud fairing algorithm processing, finally, the processed point cloud data is recovered and integrated, and a result is output. According to the method, the problem of gradient inversion in a bilateral filtering fairing method can be effectively solved, and the operation speed of the algorithm can be effectively increased.

Description

technical field [0001] The invention relates to the field of reverse engineering of computer vision technology and three-dimensional reconstruction, and specifically provides an improved fast smoothing method for guided filtering three-dimensional scattered point cloud. Background technique [0002] As a kind of data that can express the geometric information of the object surface, the 3D point cloud has attracted extensive attention. The acquisition of point cloud data is an important part of reverse engineering. However, due to the defects of the acquisition equipment itself, the interference of system noise and environmental factors, the obtained point cloud data usually has noise, and the point cloud data containing noise will have an adverse effect on the subsequent point cloud processing. Therefore, the 3D point cloud data Denoising has become one of the hot issues in the field of reverse engineering research. [0003] The noise contained in 3D point cloud data can be...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T5/00
CPCG06T2207/10028G06T2207/20021G06T5/70Y02A90/10
Inventor 王春阳王珊刘雪莲肖博
Owner XIAN TECHNOLOGICAL UNIV
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