Method for automatically constructing three-dimensional face muscle model

A three-dimensional face, automatic construction technology, applied in 3D modeling, 3D image processing, image data processing and other directions, can solve the problems of difficulty in customizing face models and limiting flexibility.

Inactive Publication Date: 2010-07-21
BEIHANG UNIV
View PDF0 Cites 19 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, this type of method still has a big bottleneck in the construction of facial muscle models, which not only greatly limits its flexibility in application, but also makes it difficult for ordinary users to customize their desired facial models with expression functions.

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
  • Method for automatically constructing three-dimensional face muscle model
  • Method for automatically constructing three-dimensional face muscle model
  • Method for automatically constructing three-dimensional face muscle model

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0017] 1. 3D face feature point detection

[0018] The 3D facial feature point detection stage is the preparatory stage for the construction of the facial muscle model. It is mainly responsible for accurately detecting 22 predefined facial feature points on a given static 3D face grid. Such as figure 1 As shown, the predefined feature points are mainly concentrated in four areas, namely the eyebrow area, the eye area, the nose tip and nose area, and the area around the mouth. These feature points can well describe the facial features of a given 3D face. Provide accurate and sufficient data information for the next stage of muscle positioning.

[0019] Traditional feature point detection methods based on 3D shape analysis have problems such as weak robustness and low detection accuracy caused by the irregularity of the model. Since the method of the present invention is aimed at ordinary users, most of the models of ordinary users come from the Internet, which makes the noise...

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 provides a method for automatically constructing a three-dimensional face muscle model. The muscle model is the most commonly used facial animation drive model at present, three-dimensional facial expression changes are driven by simulating contraction of the facial muscle; however, an artist spends much time in performing fine adjusting on the construction of the conventional face muscle model, and after the face muscle model is changed at a time, all the construction even needs to do again. Based on the problems, the invention provides the novel method for constructing the face muscle model; the method realizes the automatic construction and the assembly of the face muscle by researching a space position mapping relationship between the three-dimensional face characteristic points and the face muscle; and an experimental result proves that the method makes the artist be free from fussy hand debugging, and enables a normal user to customize a three-dimensional image with various expressions required per se.

Description

technical field [0001] The invention relates to the field of automatic construction of muscle models in the field of computer simulation of three-dimensional facial expression animation. Background technique [0002] Computer simulation of 3D facial expression animation is a key application in computer graphics. Commonly used facial expression animation methods are mainly divided into three categories, namely methods based on shape interpolation, methods based on geometric deformation, and methods based on simulation. [0003] The method based on shape interpolation is an intuitive and easy-to-implement facial expression animation method. Its main technical principle is to use linear or nonlinear interpolation technology to interpolate static face models with different expressions to obtain intermediate transition expressions. face model. Although the method based on shape interpolation is simple, static face models with various extreme expressions need to be prepared and ...

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): G06T17/00G06T15/00
Inventor 赵沁平高玉建郝爱民王莉莉
Owner BEIHANG 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