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Method, device and system for denoising and simplifying three-dimensional plant leaf point cloud

A plant leaf and point cloud technology, which is applied in image data processing, instruments, calculations, etc., can solve the problems of large computing and storage requirements, high time cost, and a large number of 3D point clouds, etc. The effect of simplifying the method

Active Publication Date: 2019-06-11
JIANGSU MINGTONG TECH
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] At present, there are many denoising and simplification methods for 3D plant leaf point cloud. The denoising and simplification algorithm based on K-nearest neighbor point cloud denoising and simplification is very optimistic. However, due to the huge number of 3D point clouds, the time spent in the process of denoising and simplification is also extremely high.
In addition, the process of denoising and simplification is carried out in three-dimensional space, and the demand for computing and storage is relatively large.

Method used

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  • Method, device and system for denoising and simplifying three-dimensional plant leaf point cloud

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Embodiment 1

[0051] An embodiment of the present invention provides a method for denoising and simplifying a three-dimensional plant leaf point cloud, which specifically includes the following steps:

[0052] Step 1) obtain the plant 3D point cloud data blade model 1 with noise; 360° scanning of plant leaves;

[0053] Step 2) Perform two-dimensional mapping on the plant 3D point cloud data leaf model 1 in step 1) to obtain a two-dimensional plant leaf model 1, and use the 2D denoising algorithm based on color and distance to remove outliers and heterochromatic points, and then Obtain the two-dimensional plant leaf model 2; In a kind of specific implementation mode of the embodiment of the present invention, implement the 2D denoising algorithm based on color and distance to remove the flow chart of outlier point and heterochromatic point as figure 2 As shown, since the thickness of each blade is generally the same, so the two-dimensional mapping will not affect the results of the experim...

Embodiment 2

[0065] An embodiment of the present invention provides a device for denoising and simplifying a three-dimensional plant leaf point cloud, including:

[0066] Obtaining module, for obtaining plant 3D point cloud leaf model 1 with noise;

[0067] The first two-dimensional plant leaf model calculation module is used to perform two-dimensional mapping on the plant 3D point cloud leaf model 1 to obtain a two-dimensional plant leaf model 1, and use a 2D denoising algorithm based on color and distance to remove outliers and heterochromatic point, and then obtain the two-dimensional plant leaf model 2;

[0068] The second two-dimensional plant leaf model calculation module is used to simplify the two-dimensional plant leaf model 2 using a block diagram method to obtain a two-dimensional plant leaf model 3;

[0069] The mapping module is used to map the two-dimensional plant leaf model 3 obtained in step 3) to the original plant 3D point cloud leaf model 1 through the corresponding re...

Embodiment 3

[0080] An embodiment of the present invention provides a denoising and simplification system for a three-dimensional plant leaf point cloud, including:

[0081] a processor adapted to implement the instructions; and

[0082] The storage device is suitable for storing a plurality of instructions, and the instructions are suitable for being loaded by the processor and executing the steps described in any one of Embodiment 1.

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Abstract

The invention discloses a method, device and system for denoising and simplifying three-dimensional plant leaf point cloud. The denoising and simplifying method comprises the following steps: 1) scanning original plant leaves by 360 degrees to obtain a plant 3D point cloud leaf model 1 with noise points; 2) carrying out two-dimensional mapping on the plant 3D point cloud leaf model 1 obtained in the step 1) to obtain a two-dimensional plant leaf model 1, and removing outliers and dissimilar points by using a color and distance-based 2D denoising algorithm to obtain a two-dimensional plant leafmodel 2; 3) simplifying the two-dimensional plant leaf model 2 obtained in the step 2) by adopting a block diagram method to obtain a two-dimensional plant leaf model 3; and 4) mapping the two-dimensional plant leaf model 3 obtained in the step 3) to the original plant 3D point cloud leaf model 1 through a corresponding relation between points to obtain the de-noised and simplified three-dimensional plant leaf. The method is simple and convenient to operate, and less time is needed during denoising and simplification; Due to the fact that a certain number of point clouds are deleted after denoising and simplification are carried out, the occupied amount of memory space in point cloud computing storage is small.

Description

technical field [0001] The invention belongs to the field of computer graphics processing and human-computer interaction, and in particular relates to a denoising and simplification method for a three-dimensional plant blade point cloud. Background technique [0002] Plants are an important part of the natural landscape. Different types of plants have different structures, complex structures, and beautiful natural shapes. They are indispensable components in systems such as virtual reality, computer games, film and television animation, and garden design. Therefore, with the emergence of image and 3D point cloud plant raw data acquisition technology, how to integrate the early graphics-based plant modeling method with modern image and 3D point cloud modeling technology, combined with human-computer interaction technology, to complete the project efficiently and conveniently Plant modeling will play an important role in promoting the development of plant modeling theory and ...

Claims

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Application Information

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IPC IPC(8): G06T5/00
Inventor 曾兰玲金小刚秦谦张玲玲
Owner JIANGSU MINGTONG TECH