Check patentability & draft patents in minutes with Patsnap Eureka AI!

3D Model Shape Analysis Method Based on Perceptual Information

A technology of three-dimensional model and analysis method, applied in the field of pattern recognition, can solve problems such as incomplete application of point cloud data

Inactive Publication Date: 2016-01-20
INST OF AUTOMATION CHINESE ACAD OF SCI
View PDF3 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The method is based on voxel shape and cannot be fully applied to point cloud data

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
  • 3D Model Shape Analysis Method Based on Perceptual Information
  • 3D Model Shape Analysis Method Based on Perceptual Information
  • 3D Model Shape Analysis Method Based on Perceptual Information

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0033] The present invention will be described in detail below in conjunction with the accompanying drawings. It should be noted that the described embodiments are only intended to facilitate the understanding of the present invention, and have no limiting effect on it.

[0034] 1. The overall composition of the 3D model shape analysis method based on perceptual information

[0035] Such as figure 1 As shown, the method of the present invention performs a shape decomposition operation on the 3D model based on the block feature points and curvature changes, and then constructs the 3D skeleton points of the object based on the result of the shape decomposition, which constitute the structural information of the 3D model. Using the content of the structural information (the shape decomposition of the model and the composition relationship described by the skeleton), the semantic description graph of the shape of the 3D model is established. The feature information used in 3D mod...

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

A method for analyzing the shape of a three-dimensional model based on perceptual information is provided. The method includes the steps of: decomposing the shape of the three-dimensional model; extracting a skeleton according to the decomposed three-dimensional model. This method makes shape decomposition suitable for objects with different shapes, such as regular 3D models, 3D models with noise, 3D models with multiple ring structures, and 3D models without ring structures, etc. This method is not sensitive to the noise in the model, and has fast segmentation speed and high accuracy. The shape decomposition results in this method can be applied to different branches of computer graphics and computer vision, such as computer animation, modeling, shape analysis, classification, object recognition, and the skeleton extracted using the decomposition results and the subsequent shape semantic description graph can be It is applied to 3D model retrieval, semantic analysis of models, etc.

Description

technical field [0001] The invention relates to pattern recognition, in particular to a three-dimensional model shape analysis method based on perceptual information. Background technique [0002] Shape decomposition is the decomposition of three-dimensional regular-shaped objects into meaningful parts. This study is usually a challenging research topic and is indispensable in shape analysis, processing and applications. The 3D semantic representation obtained by shape decomposition can be widely used in different branches of computer graphics and computer vision, including computer animation, geometric modeling, shape analysis, shape classification, object recognition, and 3D model retrieval. [0003] Generally speaking, the most typical representation methods of 3D shapes are mesh model and voxel model. Existing methods on mesh models rely on topological information such as edges and faces provided by mesh models. However, for the polygonal mesh model, many researchers b...

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 Patents(China)
IPC IPC(8): G06T17/00G06V10/34G06V10/426
CPCG06T2207/20044G06T2207/30172G06T15/10G06T7/13G06T7/155G06V20/653G06V10/34G06V10/457G06V10/426G06T17/00
Inventor 张晓鹏宁小娟李尔王映辉
Owner INST OF AUTOMATION CHINESE ACAD OF SCI
Features
  • R&D
  • Intellectual Property
  • Life Sciences
  • Materials
  • Tech Scout
Why Patsnap Eureka
  • Unparalleled Data Quality
  • Higher Quality Content
  • 60% Fewer Hallucinations
Social media
Patsnap Eureka Blog
Learn More