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A restoration method of plant organ point cloud

A plant organ and repair method technology, applied in the field of three-dimensional image repair, can solve problems such as missing point cloud data, and achieve the effect of high repair accuracy and good fusion.

Active Publication Date: 2015-10-28
BEIJING RES CENT FOR INFORMATION TECH & AGRI
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Conventional point cloud repairs mostly use the geometric features of the point cloud to be repaired. The present invention considers that there are many plant samples, and there is a high similarity between the same organs. Comparing with the repair of missing point cloud, it solves the problem of repairing missing point cloud data of large plant organs, so that complete point cloud data can be obtained in the process of plant scanning

Method used

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  • A restoration method of plant organ point cloud
  • A restoration method of plant organ point cloud
  • A restoration method of plant organ point cloud

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Effect test

Embodiment 1

[0038] Firstly, a variety of plant organ point cloud templates are established, mainly to repair the missing point cloud generated during the 3D scanning of the whole plant.

[0039] Organ templates: Generally speaking, organ templates are to build some organ point clouds with complete shapes. They are used as templates, and the missing organ point clouds are compared with them to supplement the missing parts of organs; the same organ template set and missing organs are topologically isomorphic of.

[0040] The process of this embodiment is: remember that there is a missing A organ point cloud as A # , we select organs (N samples) similar in shape to destructive sampling, respectively establish complete organ templates, and form organ template set V A ={E i ,i=1,…,N}, where E i is the i-th template. What we have to do is to get from V A Choose a template E that is closest to its shape k , and put A # Missing parts are repaired by matching methods.

[0041] The specific...

Embodiment 2

[0082] Taking corn fruit as an example, a part of corn fruit is wrapped by stalks and leaves. If the complete point cloud is obtained normally, destructive sampling must be carried out, but this will damage the overall structure of the corn plant. Then we can use other plants (without performing The fruit construction template scanned by the whole plant), and then complete the point cloud restoration of the missing corn fruit on the pre-modeled plant, such as figure 2 Shown is the 3D point cloud image of the missing corn stalk, image 3 for the repaired model.

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Abstract

The invention provides a plant organ point cloud restoration method, which relates to the field of three-dimensional image restoration. The plant organ point cloud restoration method includes the following steps: (S1) plant organ point cloud templates are constructed, so that a point cloud template set is generated; (S2) a missing organ point cloud is matched with the point cloud template set in order to find out a point cloud template which is closest to the missing organ point cloud; and (S3) on the basis of the closest point cloud template, the missing point cloud is restored. By solving the problem on how to restore missing bulk plant organ point cloud data, complete point cloud data can be obtained in the process of plant scanning by the plant organ point cloud restoration method. The accuracy of restoration is high, restored point clouds and original point clouds can be merged perfectly, and restored parts can reflect the main features of plant organs.

Description

technical field [0001] The invention relates to the field of three-dimensional image restoration, in particular to a plant organ point cloud restoration method. Background technique [0002] In recent years, with the maturity of 3D laser scanning technology and the widespread popularization of related instruments and equipment, 3D reconstruction using 3D laser scanning data has become a research hotspot. In terms of plant morphology and structure measurement and analysis, traditional manual data acquisition methods are slow. , low precision and other shortcomings, it has been difficult to meet the requirements of scientific research, and the 3D laser scanning measurement technology can overcome the limitations of traditional manual measurement to a large extent, using non-contact active measurement methods to directly obtain high-precision 3D data Scanning, and has the characteristics of fast scanning speed, strong real-time performance and high precision. However, the morp...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06T5/00
Inventor 温维亮郭新宇陆声链肖伯祥吴升
Owner BEIJING RES CENT FOR INFORMATION TECH & AGRI
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