Melthod for realizing searching new position of person's face feature point by tow-dimensional profile

A two-dimensional contour and face feature technology, applied in the field of image processing, can solve the problems of search result error, large error of face feature point positioning, etc., and achieve the effect of improving accuracy

Inactive Publication Date: 2006-06-14
SHANGHAI JIAO TONG UNIV
View PDF0 Cites 31 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] After searching the prior art documents, it is found that in Chapter 7 "Model-based Methods in Analysis of Biomedical Images" of "Image Processing and Analysis" ("Image Processing and Analysis") ") on pages 223 to 248 (the book was published by Oxford University Press in 2001) introduces the ASM method proposed by T.F.Cootes et al. In this method, when searching for new positions of feature points, the search range is limited to the vertical On the one-di

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
  • Melthod for realizing searching new position of person's face feature point by tow-dimensional profile
  • Melthod for realizing searching new position of person's face feature point by tow-dimensional profile
  • Melthod for realizing searching new position of person's face feature point by tow-dimensional profile

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0031] The technical solution of the present invention will be further described in detail below in conjunction with a specific embodiment.

[0032] The images used in the embodiment are from the captured face image library. The whole implementation process is as follows:

[0033] 1. Use the adaboost method for face detection, and the detection results are as follows figure 1 shown. The rectangular area drawn with a white line in the figure is the found face area, the coordinates of the upper left corner of the rectangle are (189, 113), and the coordinates of the lower right corner are (438, 412).

[0034] 2. Eye positioning, perform eye detection in the found face area to find the position of the two eyes, such as figure 2 shown.

[0035] The white star pattern on the left eye in the figure is the found position of the left eye, and its coordinates are (270, 208), and the white star pattern on the right eye is the found position of the right eye, and its coordinates are ...

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 is a method for searching new positions of human face feature points by 2D outline in the field of image processing technique, comprising the steps of: (1) making human face detection on the given image and obtaining position coordinates of a human face region; (2) locating two eyes in the found human face region to find their positions; (3) calculating the coordinates of the midpoint of the two eyes, the distance between them, and the angle of the connection line of them; (5) making affine transformation on initial position of ASM model to obtain an initial model; (6) using the initial model as an initial position of ASM search and using 2D outline to make feature point location. It can be further applied to human face recognition, sex recognition, expression recognition, age estimation and other aspects and has higher accuracy.

Description

technical field [0001] The invention relates to a method in the technical field of image processing, in particular to a method for searching new positions of facial feature points by using two-dimensional contours. Background technique [0002] As an important branch of biometric recognition, face recognition has received more and more attention. In the past ten years, a lot of research results have been achieved in this field, some of which have been applied to real life, such as face detection, face recognition etc., while the location of facial feature points is the core technology in face recognition, and the accuracy of feature point location directly affects the accuracy of recognition. Therefore, accurately locating a large number of facial feature points can greatly improve the accuracy of recognition. The existing face feature location methods are mainly divided into two categories: one is the local feature location method, and the other is the global feature point...

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): G06K9/00
Inventor 杜春华杨杰
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

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