Front face image synthesis method and system based on prior model

A technology for frontal face and image synthesis, applied in directions such as filling planes with attributes

Active Publication Date: 2015-01-21
NANJING UNIV OF AERONAUTICS & ASTRONAUTICS
View PDF4 Cites 22 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Some scholars first determine the pose angle of the test face, and then use the face training library of the corresponding pose to perform frontal face synthesis, but this synthesis method requires a large number of face training images of various poses

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
  • Front face image synthesis method and system based on prior model
  • Front face image synthesis method and system based on prior model
  • Front face image synthesis method and system based on prior model

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0051] A kind of front face image synthesis method based on prior model of the present invention comprises the following steps:

[0052] 1. Algorithm initialization

[0053] The initialization process of the algorithm includes the standardization of the 3D prototype sample library to obtain the 3D face sample library, the construction of the 2D sample library from the 3D face sample library, and the calibration of the input 2D image feature points.

[0054] The standardization of the 3D prototype sample library is to realize the correction of the face pose in the sample library, the resampling of the 3D face point set and the correspondence of the points; the 2D sample library can be obtained from the 3D face sample library in the way of orthogonal projection; two The calibration of the feature points of the 2D image adopts the method of manual calibration, and the 2D facial feature points are selected to have corresponding feature points in the 3D model.

[0055] 2. Estimate...

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 relates to a front face image synthesis method and system based on a prior model. The method includes the steps that firstly, sample standardization is conducted on a three-dimensional prototype sample library, a three-dimensional face sample library is acquired, and feature points of tested face images are calibrated; secondly, an average three-dimensional face model is acquired, and the attitude angles of the tested face images are acquired by establishing the corresponding relationship between projected feature points on the average three-dimensional face model and the calibrated feature points of the tested face images; thirdly, images more similar to the tested face images are screened out from the three-dimensional face sample library and used for establishing a prototype sample library; fourthly, front face images are synthesized. Under the condition that only information in the three-dimensional face library is adopted, the attitude angles of the input tested face images are estimated, corresponding front faces are synthesized, and certain detail features on original faces can be reserved. The method and system have theoretical and practical significance in research on face recognition and face attitude estimation and development of practical application.

Description

technical field [0001] The invention relates to the fields of computer graphics, digital image processing, artificial intelligence, etc., and in particular to a method and system for synthesizing a frontal face image from a face posture image. Background technique [0002] Methods for frontal face synthesis include three-dimensional methods and two-dimensional methods. The idea of ​​the three-dimensional method is to perform three-dimensional reconstruction on the test face image. After obtaining the three-dimensional data of the test face image, the frontal face image can be obtained naturally. The most typical method of this type of method is the morphable model (3DMM, 3D Morphable Mpdel) method, which realizes the synthesis of face images from the side to the front, but the face reconstruction process of 3DMM is very inefficient, and the reconstruction is performed on a server with a main frequency of 2GHz. A face takes 300 seconds. Later scholars proposed many improved...

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): G06T11/40
Inventor 周大可方三勇曹元鹏
Owner NANJING UNIV OF AERONAUTICS & ASTRONAUTICS
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