Three-dimensional human body modeling method based on OpenGL and deep learning

A technology of deep learning and human body modeling, which is applied in the field of 3D human body modeling, can solve the problems of consuming a lot of manpower, material and financial resources, ordinary users cannot easily obtain 3D models, and restricting 3D human body models, so as to simplify the process and improve efficiency effect

Active Publication Date: 2020-01-03
NANJING UNIV OF POSTS & TELECOMM
View PDF1 Cites 1 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The first method is limited by the high price of 3D laser scanners, and is currently generally used by laboratories or companies
The 3D editing software in the second method is generally oriented to professional 3D model design. Making a 3D model with individual shape feature

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
  • Three-dimensional human body modeling method based on OpenGL and deep learning
  • Three-dimensional human body modeling method based on OpenGL and deep learning
  • Three-dimensional human body modeling method based on OpenGL and deep learning

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0040] Below in conjunction with accompanying drawing and specific embodiment, further illustrate the present invention, should be understood that these examples are only for illustrating the present invention and are not intended to limit the scope of the present invention, after having read the present invention, those skilled in the art will understand various aspects of the present invention All modifications of the valence form fall within the scope defined by the appended claims of the present application.

[0041] A 3D human body modeling method based on OpenGL and deep learning, using the popular deep learning model MaskR-CNN to extract human body images in 2D images, and combining OpenGL with standard 3D human body models to reconstruct a personalized 3D human body model Methods. First, the Mask R-CNN deep learning model is used to segment the human body image in the two-dimensional image, and then the main features of the human body contour obtained after the segment...

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 three-dimensional human body modeling method based on OpenGL and deep learning. The method comprises the following steps: extracting a human body image in a two-dimensional image through a deep learning model Mask R-CNN, and reconstructing a personalized three-dimensional human body model through the combination of OpenGL and a standard 3D human body model. The method comprises the following steps: firstly, segmenting a human body image in a two-dimensional image by adopting a Mask R-CNN deep learning model; and then extracting main features of the human body contourobtained after segmentation, finally mapping the features of the human body contour image to a three-dimensional standard human body model established by 3d-max by using OpenGL, and quickly constructing a three-dimensional human body model in the OpenGL. The method is fast in image processing and high in model generation efficiency.

Description

technical field [0001] The invention relates to a three-dimensional human body model established by using a deep learning model and OpenGL, and belongs to the technical field of three-dimensional human body modeling. Background technique [0002] The generation of 3D human body models refers to the creation of digital geometric models of human body objects in virtual scenes. Generating a high-fidelity 3D human body model with individual shape characteristics is a classic problem that has been studied since the birth of computer graphics, and it is still a hot issue in academia and industry today. There are two reasons for this fact: On the one hand, the 3D human body model has a high complexity. On the other hand, users can easily perceive the degree of distortion of the generative model. [0003] Traditional 3D model generation technology is difficult to provide practical human body modeling methods to mass users. The current 3D model generation technology can be mainly ...

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
IPC IPC(8): G06T17/00G06N3/04
CPCG06T17/00G06N3/045
Inventor 贾柯阳高宇周宁宁
Owner NANJING UNIV OF POSTS & TELECOMM
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