Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

A method of labeling single-sided point cloud model

A point cloud model and model technology, applied in interdisciplinary fields, can solve the problems of repeated definition of labeling areas, unsatisfactory labeling effects, scattered targets, etc.

Active Publication Date: 2019-01-15
XIAN UNIV OF TECH
View PDF2 Cites 7 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, for outdoor scenes, areas or objects with large area and strong deformation, the labeling effect is often not ideal.
The main reason is that in the scene data, the marked targets are too scattered, the boundaries of the targets are blurred, and there are many noise points. It is difficult to clearly divide the boundaries of each part by using the marking method of a specific area, and the definition of some marked areas will be repeated, resulting in ambiguity. sex labeling problem

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • A method of labeling single-sided point cloud model
  • A method of labeling single-sided point cloud model
  • A method of labeling single-sided point cloud model

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0050] The present invention will be described in detail below in conjunction with the accompanying drawings and specific embodiments.

[0051] A method for labeling a one-sided point cloud model, specifically according to the following steps:

[0052] Step 1, point cloud model scene division

[0053] Divide the point cloud model into scenes, and construct a lattice model based on octree;

[0054] Specifically, use the following steps to divide the scene with the point cloud model, and build a grid model based on the octree:

[0055] Step 1.1, determine the threshold of the octree, calculate the covariance matrix, eigenvalue, and eigenvector of the point cloud model, and then obtain the overall trend of the point cloud model according to the principal component analysis method;

[0056] Step 1.1.1, taking the coordinates of each data point in the point cloud model as the three dimensions of the data point, then the three-dimensional matrix of the point cloud model is:

[00...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

Abstract

The invention relates to a labeling method of a single-side point cloud model, in particular to a method of dividing a point cloud model into scenes, constructing a lattice-division model based on anoctree, roughly labeling each lattice-division model, and fine labeling each lattice-division model. The invention relates to a labeling method of a single-side point cloud model, which uses an improved region growth algorithm to label the point cloud model, can clearly divide the mesh boundary, and simultaneously solves the ambiguous labeling problem in the existing pixel level labeling method.

Description

technical field [0001] The invention belongs to the interdisciplinary technical field of combining computer graphics and virtual reality, and relates to a single-side point cloud model labeling method, in particular to a single-viewpoint measurement single-side point cloud model labeling method. Background technique [0002] Because the measured point cloud data has the shortcomings of huge data volume, many noise points, and irregular distribution, these shortcomings will make the research and application of computer vision very difficult, so it is necessary to carry out the original measured point cloud model. Noise, registration, segmentation, labeling, recognition and other preprocessing to improve the accuracy of follow-up research and reduce the difficulty of processing. [0003] In the field of computer vision, the labeling of point cloud models has always been a research topic that has attracted much attention. According to different visual levels, scene annotation ...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
Patent Type & Authority Applications(China)
IPC IPC(8): G06T17/00G06F17/16
CPCG06F17/16G06T17/005
Inventor 王映辉李敖宇周天翔宁小娟
Owner XIAN UNIV OF TECH
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic, Popular Technical Reports.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com