A fruit three-dimensional digitization method based on point cloud

A point cloud data and fruit technology, applied in the field of 3D digitization, can solve the problems of inaccurate results, low efficiency, large amount of calculation, etc., and achieve the effect of simplification of point cloud data, rough compensation effect, and simplified texture image segmentation method

Active Publication Date: 2019-03-29
NORTHWEST A & F UNIV +1
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Problems solved by technology

However, the current 3D digitization method based on fruit still extracts the 3D fruit shape from the ...

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  • A fruit three-dimensional digitization method based on point cloud
  • A fruit three-dimensional digitization method based on point cloud
  • A fruit three-dimensional digitization method based on point cloud

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Embodiment Construction

[0060] The principles and features of the present invention are described below in conjunction with the accompanying drawings, and the examples given are only used to explain the present invention, and are not intended to limit the scope of the present invention.

[0061] Such as figure 1 As shown, the 3D digitization method of fruit based on point cloud includes the following steps:

[0062] Step 1: Use PCP-400 3D scanner to acquire fruit point cloud data.

[0063] Step 2: Based on non-local classification, interactive threshold denoising is used to denoise the fruit point cloud.

[0064] Step 3: Simplify the fruit point model based on point-octree and MLS fitting.

[0065] Step 4: Based on the PCA attribute calculation, the geometric similarity recursive increment (GSA) extracts the fruit slice of the point cloud model.

[0066] Step 5: Pairwise registration based on dual error metrics and PDCM-NDPM homonymous point search and fruit point cloud model registration based on...

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Abstract

The invention discloses a fruit three-dimensional digitization method based on point cloud, which comprises the following steps: 1) acquiring fruit point cloud data by using a portable laser three-dimensional scanner; 2) adopting non-local classification, interactive threshold denoising and decimation; 3) Using point-octree, MLS fitting to simplify the fruit point model; 4) extracting fruit slicesof that point cloud model through PCA attribute calculation and recursive increment of geometrical similarity; 5) Registering fruit point cloud models by oriented-splat team registration and hierarchical global registration;; 6) performing texture synthesis of fruit point cloud based on texton sub-sampling weighted template. This method reconstructs the real fruits in the growing process, and proposes some methods and algorithms such as denoising, extraction, registration and direct texture synthesis, which make up for the shortcomings of rough effect, low coding efficiency and large storagespace of direct texture synthesis on the current point model.

Description

technical field [0001] The invention belongs to the technical field of three-dimensional digitization methods, in particular to a method for three-dimensional digitization of fruits based on point clouds. technical background [0002] 3D digitization is to obtain the shape data of objects manually, process and splicing the obtained data information, organize them by modeling, seamlessly integrate each isolated single-view 3D digital model, and form a 3D image after texture and rendering processing. data file. Modeling is a very important step, especially in the face of such large-scale 3D data that requires models, it is difficult to achieve without a strong team. 3D is the display and performance of data after collection and calculation and analysis. Three-dimensional data can reflect objective reality more comprehensively than two-dimensional data. Similar to the two-dimensional digital model, the three-dimensional digital model must have the most basic spatial data pro...

Claims

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Application Information

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IPC IPC(8): G06T17/00G06T3/00G06T7/11G06T5/00
CPCG06T3/0075G06T5/002G06T7/11G06T17/00G06T2207/30128G06T2207/10028
Inventor 杨会君王志垚谢君琳马善鹏王瑞萍王昕王竟宇马明跃张鹏丹韩旭沐华艳毛丰钟健鹏姜志鹏江旭宋宇
Owner NORTHWEST A & F UNIV
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