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

A digital twin method and system based on 3D model matching

A technology of model matching and model data, applied in the field of digital twins, can solve problems such as rough model generation, no consideration of texture similarity between original objects and virtual models, and only focus on shape similarity

Active Publication Date: 2022-04-08
ZHEJIANG LAB
View PDF11 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] Patent CN 201310343131.5 discloses a realization method of automatic generation and online interaction of a three-dimensional digital model of a plane space structure. It is relatively rare to use the method of server and client, but the model generation is relatively rough, and only a simple background model such as a wall is generated. Body, windows, and furniture models are selected by the user through the operation of the client.
[0005] In addition, under the background of digital twin technology as the core technology of the next generation Internet, existing patents only focus on the similarity of shape, but do not take into account the similarity of texture between the original object and the virtual model

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 digital twin method and system based on 3D model matching
  • A digital twin method and system based on 3D model matching
  • A digital twin method and system based on 3D model matching

Examples

Experimental program
Comparison scheme
Effect test

Embodiment

[0102] The data type of this embodiment is aimed at 3D model picture data under different viewing angles, and the model of the database uses the open source 3D model dataset ShapeNet of Stanford University as the basic data.

[0103] Blender is used as the rendering software. Take the chair set in ShapeNet as an example. The code name of the chair set in ShapeNet is 03001627, and Blender loads each model in the chair set.

[0104] Then set the camera position, which is represented by three parameters, namely distance, altitude and azimuth. The distance is the distance from the center of the model to the camera, the altitude is the height of the camera (the position of the bottom surface of the model is a horizontal line), and the azimuth is the angle between the projection vector of the xz plane of the camera position in the three-dimensional coordinates and the positive direction vector of the x-axis, such as image 3 shown. The camera is facing the center of the model, and...

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 discloses a digital twin method and system based on 3D model matching. The method includes four steps: model and texture training, model matching, texture fusion, and scene placement; wherein, model and texture training is an offline preprocessing step, and model matching, texture Fusion and scene placement are real-time processing steps. The training of the model uses multi-viewpoint silhouette images to learn the 3D structure, and realizes the 3D reconstruction of the polygonal mesh; the training of the texture obtains the texture flow through a fixed UV mapping, and realizes the reasoning from the 2D image to the 3D texture. Model matching uses the reconstructed model and the database model to perform IOU iterative calculation, and obtains the model whose IOU value is closest to 1 as the specified model after matching. Texture fusion is to fuse the specified model after matching with the 3D texture stream after texture inference to form a standard 3D model. Scene placement is to place the 3D model accurately in the 3D scene. This digital twin method automatically generates 3D model scenes and improves the efficiency of digital twins.

Description

technical field [0001] The invention relates to the field of digital twins, in particular to a digital twin method and system based on 3D model matching. Background technique [0002] At present, most methods for automatic generation of 3D models only match simple data such as coordinates or model types with existing models, and do not use the latest deep neural network machine learning methods. For example, patent CN202010701243.3 discloses an automatic generation of tunnel 3D models The method includes: S1, establishing a graphic database, storing objects including two-dimensional design drawings and entity objects of three-dimensional models; S2, creating an external database for storing multiple design parameters input by users; S3, based on user input parameters to generate 2D design drawings and 3D models of tunnels. Patent CN202011386970.1 discloses a method for automatically generating a 3D model of a road intersection, including: obtaining the basic parameters of t...

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): G06T17/00G06T17/20G06T15/04G06K9/62G06V10/74
CPCG06T17/00G06T15/04G06T17/205G06F18/22
Inventor 金鑫宋伟朱世强顾建军姜淑瑾
Owner ZHEJIANG LAB
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