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Point cloud data gridding method, device, computer equipment and storage medium

A point cloud data and meshing technology, applied in the field of 3D scanning, can solve the problems of reducing data processing speed, occupying system memory, and large amount of point cloud data, so as to improve processing speed, reduce point cloud data, reduce The effect of consumption

Active Publication Date: 2020-12-29
杭州先临天远三维检测技术有限公司
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

There is a large amount of data overlap, and the point cloud data has a large amount of data, which leads to slow processing speed of the reconstructed 3D model, and takes up a lot of system memory, further reducing the data processing speed

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  • Point cloud data gridding method, device, computer equipment and storage medium
  • Point cloud data gridding method, device, computer equipment and storage medium
  • Point cloud data gridding method, device, computer equipment and storage medium

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Embodiment Construction

[0021] In order to make the purpose, technical solution and advantages of the present application clearer, the present application will be further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described here are only used to explain the present application, and are not intended to limit the present application.

[0022] In 3D scanning, splicing, registration or registration are the same concept, which is to transform point clouds at different positions to the same position through the information of overlapping parts. Taking noun registration as an example for illustration, general registration is divided into three categories: coarse registration, fine registration and global registration.

[0023] Coarse registration: It is generally used to register two point clouds with very different positions, such as two frames of point clouds in the camera coordinate system. Coarse registr...

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Abstract

The invention relates to a point cloud data gridding method, apparatus, computer device and storage medium. The method comprises the following steps: acquiring point cloud data of an object to be scanned; carrying out non-uniform simplified processing on the point cloud data to obtain simplified point cloud data; performing de-overlapping processing on the simplified point cloud data to obtain de-overlapping point cloud data; the de-overlapping point cloud data is gridded to obtain gridded data. By non-uniform simplification, the point cloud data can be reduced without losing the features of the scanned object, and the original time complexity of the simplified point cloud data can be maintained in less data by post-processing, thus the processing speed of the algorithm can be improved. Asthe point cloud data is reduced, the system memory consumption is further reduced, and the processing speed of the algorithm is further improved.

Description

technical field [0001] The present application relates to the technical field of three-dimensional scanning, in particular to a point cloud data gridding method, device, computer equipment and storage medium. Background technique [0002] Three-dimensional scanning refers to a high-tech that integrates optical, mechanical, electrical and computer technologies. It is mainly used to scan the spatial shape, structure and color of objects to obtain the spatial coordinates of the object's surface. When the 3D scanner scans the object to be scanned, the 3D scanner will obtain the point cloud data of the object to be scanned from multiple different angles, and the point cloud data obtained from different angles will be spliced, de-overlapped and gridded to finally The grid data is obtained for the reconstruction of the 3D model. [0003] In the current prior art, when the three-dimensional scanner scans the object to be scanned, the point cloud data of the object to be scanned is ...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06T7/50G06T17/20
CPCG06T17/20G06T2207/10028G06T7/50
Inventor 贾颜铭张健
Owner 杭州先临天远三维检测技术有限公司