A Simplification Method of Digital Geometric Image Based on Point Cloud Model

A point cloud model, geometric image technology, applied in image data processing, graphic image conversion, instruments, etc., can solve problems such as lack of feature preservation and partial vacuum

Inactive Publication Date: 2011-12-21
SUN YAT SEN UNIV
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Problems solved by technology

However, this simplification method has the following technical disadvantages: First, by analyzing the above-mentioned geometric image production process, it is found that points with close spatial distances appear as adjacent pixels on the geometric image, so that the result can be further simplified...

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  • A Simplification Method of Digital Geometric Image Based on Point Cloud Model
  • A Simplification Method of Digital Geometric Image Based on Point Cloud Model
  • A Simplification Method of Digital Geometric Image Based on Point Cloud Model

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Embodiment Construction

[0013] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some, not all, embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without creative efforts fall within the protection scope of the present invention.

[0014] As mentioned above, the present invention provides a digital geometric image simplification method based on the point cloud model, which can further simplify the results obtained by the simplification method based on the geometric image resolution and restore the resolution based on the geometric image resolution to a certain extent. The vacuum area generated by the simplification of the rate makes the simplification process characteristic-preserving.

[001...

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Abstract

The invention discloses a digital geometric image simplification method based on a point cloud model, comprising the following steps: step 1: selecting the geometric center of the point cloud model as the origin of polar coordinates; step 2: converting the Cartesian coordinate value of the point cloud model into polar coordinates Coordinate value; Step 3: Normalize and quantize the obtained polar coordinate value and map it to a gray value; Step 4: Delete some data points based on the simplification of the gray value; Step 5: Randomly sample and restore some deleted data points . It combines the two methods of geometric image and random sampling. First, the geometric image is simplified for the point cloud data. The simplified point cloud model can maintain the main geometric features in the original model. Then, the idea of ​​random sampling is introduced, and the deleted point set Random sampling is carried out, and the sampled points are added to the simplified model, so as to avoid the influence of holes on the subsequent surface reconstruction method, and realize a fast feature-preserving point cloud model simplification.

Description

technical field [0001] The invention relates to the field of simplified processing of digital geometric images, in particular to a method for simplifying digital geometric images based on point cloud models. Background technique [0002] With the rapid development of digital technology and electronic technology, digital geometric media has received more and more attention from related industries. Large-scale real-time processing of digital geometric media, complex types of data mining and knowledge extraction, interactive graphical modeling and 3D digital reconstruction of dynamic objects pose new challenges to information technology. In recent years, with the significant development of laser scanning technology, the accuracy of data acquired by 3D laser scanning equipment is getting higher and higher, and the amount of data is also increasing. Here comes some questions. Not all data points are useful for subsequent modeling. Redundant data will not only reduce the calcula...

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Application Information

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IPC IPC(8): G06T3/00
Inventor 张勇王若梅韩冠亚
Owner SUN YAT SEN UNIV
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