Human limb three-dimensional model building method based on image cutline

A technology for image contours and limbs, applied in 3D modeling, image data processing, instruments, etc., can solve problems such as reducing the amount of motion analysis calculations, and achieve the effects of reducing computational complexity, easy installation, and simple methods

Inactive Publication Date: 2005-05-18
SHANGHAI JIAO TONG UNIV
View PDF0 Cites 36 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] The purpose of the present invention is to solve the deficiency that there are too many parameters representing skin deformation in the existing three-dimensional human body model, and propose a three-dimensional modeling method for human lim

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 limb three-dimensional model building method based on image cutline
  • Human limb three-dimensional model building method based on image cutline
  • Human limb three-dimensional model building method based on image cutline

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0028] In order to better understand the technical solutions of the present invention, a further detailed description will be made below in conjunction with the accompanying drawings and embodiments. The examples are specific to the attached Figure 4 The first image on the left (taken by the left camera at the first moment) describes the modeling process of the human body.

[0029] 1. First, use the binocular stereo vision system to shoot the poses of human limbs to obtain an image sequence. Figure 4 The first row is the sequence of right arm pose images captured by the left camera. Then use image segmentation technology (such as prewitt edge operator) to detect the edge contour information of the arm on each image, and get the edge detection result corresponding to the first row of images, such as Figure 4 Line 2 shows.

[0030] 2. Using curve fitting technology to fit the edge contours of each limb on each image with a new two-dimensional conic curve. Such as Figure...

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 3D human limb model building method based on image outline adopts rotating conic curved surface, and has joint points and line segments connecting the joint points to constitute skeleton layer to represent the human limb skeleton structure and rotating conic curved surface to represent the skin layer, with human limb skin deformation being reflected in two deforming parameters. Human limb edge contour information is first extracted from human limb image sequence obtained with binocular stereo vision system, the limb contours of the right and left images in different times are fitted with 2D conic curve, the deformation parameters of 2D conic curve equation are found out, corresponding 3D conic curve equation is found out and made to rotate around the skeleton line to find out the 3D rotating conic curved surface equation, and three spherical bodies and two rotating conic curved surfaces are adopted to draw human limb model. The method is simple and easy to realize.

Description

technical field [0001] The invention relates to a three-dimensional modeling method of human limbs based on image contours, which is used in application fields such as perception interface, motion analysis and virtual reality, and is used in medical images, biomedicine, gesture recognition, video conferencing, video games, automatic news broadcasting, It has practical application value in film production, material deformation, image compression and so on. In the field of computer vision and computer graphics. Background technique [0002] The research objects in the field of motion analysis are mainly divided into rigid objects, connected rigid bodies and non-rigid objects. The research on motion analysis in computer vision mainly focuses on the study of rigid body motion, and scholars have achieved a series of results and established a relatively complete theoretical framework. However, most of the real world is non-rigid body motion. The human body is a non-rigid body. ...

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): G06T17/00
Inventor 潘海朗刘允才
Owner SHANGHAI JIAO TONG UNIV
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