Human body geometric reconstruction method based on Euler field deformation constraint

A human body and deformation technology, applied in the field of geometric reconstruction of the human body based on Euler field deformation constraints, can solve problems such as complex limitations

Active Publication Date: 2019-12-27
杭州同绘科技有限公司
View PDF3 Cites 5 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

In order to carry out the structural reconstruction of the 3D human body, the general method is to establish the human body shape space or perform internal anatomical simulation, which are relatively complex and have certain limitations

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
  • Human body geometric reconstruction method based on Euler field deformation constraint
  • Human body geometric reconstruction method based on Euler field deformation constraint
  • Human body geometric reconstruction method based on Euler field deformation constraint

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0050] figure 1 The overall processing flow of the human body geometric reconstruction based on the Euler field deformation constraint is provided, and the present invention is further described below in conjunction with the accompanying drawings.

[0051] The present invention provides a human body geometry reconstruction method based on Euler field deformation constraints, specifically skeleton deformation driven by feature points, local deformation driven by HRBF and shape deformation driven by Euler field, comprising the following steps:

[0052] (1) Rough alignment of human body posture based on feature point-driven skeleton deformation: using the target human body grid as the data source, using the random forest regression method to extract predefined human body feature points, and then calculating the target human body skeleton nodes through these feature points; The feature points drive the skeleton deformation, and use the Linear Blend Skinning (LBS) method to first o...

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 human body geometric reconstruction method based on Euler field deformation constraint, and the method comprises the following steps: taking a target human body grid as a data source, extracting human body feature points through employing a random forest regression method, and obtaining a target human body skeleton node through calculation; driving the skeleton to deformby using the feature points, and driving the grid to deform by using an LBS method, so that the attitudes of the template model and the target model are roughly aligned; on the basis of a local fieldgenerated by the HRBF, performing rigid transformation driven by local shape difference; performing regional expansion and contraction based on local shape driving; based on SDF, optimizing a target energy function based on target data constraint, human body deformation constraint and level set characteristic constraint in an Euler field, calculating a deformation vector field to obtain an SDF deformation result, and according to the SDF deformation result, driving a template grid to be aligned with the shape of a target model, so that human body reconstruction is realized. According to the method, the robustness and efficiency of three-dimensional human body structural reconstruction are improved, and the requirement of performing human body reconstruction on rough data is met.

Description

technical field [0001] The invention specifically relates to a human body geometry reconstruction method based on Euler field deformation constraints. Background technique [0002] In recent years, the 3D modeling of objects in virtual scenes, especially the 3D modeling of human bodies, can not only be applied to character creation required in film and television, games, etc., but also has a wide range of applications in virtual fitting, medical assistance, vocational education, etc. However, the method of human body modeling has certain limitations, and there are still some difficulties and cumbersome calculations for accurate, rapid and realistic reconstruction of a specific human body model. In recent years, 3D human body reconstruction that meets the requirements of engineering and scientific research has attracted the attention of scholars and scientific research institutions at home and abroad. The research on 3D human body reconstruction based on computer graphics-re...

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): G06T17/20
CPCG06T17/20
Inventor 郝爱民李帅梁晓辉杨文军高阳
Owner 杭州同绘科技有限公司
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products

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

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap