Method for extracting and recognizing facial features

A face feature and recognition method technology, applied in the field of face recognition, can solve the problems of high recognition accuracy, reduce the error rate, and solve the problems of complex pattern recognition and behavior control.

Inactive Publication Date: 2012-12-12
CHANGZHOU LENCITY INFORMATION TECH
View PDF0 Cites 10 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] The technical problem to be solved by the present invention is: in order to overcome the above-mentioned problems, provide a method for face feature extraction an

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 extracting and recognizing facial features
  • Method for extracting and recognizing facial features

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0011] The present invention is described in further detail now in conjunction with accompanying drawing. These drawings are all simplified schematic diagrams, which only illustrate the basic structure of the present invention in a schematic manner, so they only show the configurations related to the present invention.

[0012] A method for feature extraction and recognition of a human face, including a method for two-dimensional frontal human face images. Geometric normalization and grayscale normalization are generally required before feature extraction and classification of human face images. Geometric normalization refers to transforming the face in the image to the same position and the same size according to the face positioning results. Gray normalization refers to performing illumination compensation on the image. Illumination compensation can overcome the influence of illumination changes to a certain extent. To improve the recognition rate, the specific recognition m...

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 method for extracting and recognizing facial features. The invention refers to a method for extracting and recognizing a two-dimensional front facial image. The specific recognizing methods are as follows: (1) a method based on a feature face: projecting an original image to a feature space, obtaining a series of dimension-reducing images and taking a main element thereof to express a face; (2) a method based on a neural network: utilizing a system formed by linking a great mass of simple processing units; (3), a method based on a support vector machine: building an ability of precisely studying a specific training sample and correctly recognizing any samples on the basis of vapnik-chervonenkis (VC) dimensional theory of the statistical learning theory and the minimum principle of the structural risk. The method for extracting and recognizing facial features can effectively reduce the error rate of the feature face part analysis by adopting the method based on the feature face; the method based on the neutral network can get good effect by applying to the face detection and the front face recognition; and therefore, the problem of complex mode recognition and action control can be solved.

Description

technical field [0001] The invention relates to the field of human face recognition, in particular to a method for extracting and recognizing human face features. Background technique [0002] Computer face recognition refers to the use of computer analysis image and pattern recognition technology to identify or verify one or more faces from static or dynamic scenes based on the known face sample library. Usually, the basic information that can be obtained after the recognition process includes the position, scale and posture information of the face. Using feature extraction technology can further extract more biological characteristics (such as: race, gender, age..). Computer face recognition is a very active research topic at present, and it can be widely used in important occasions such as security system, criminal identification and identification. Although human beings have a strong ability to recognize faces and can remember and recognize thousands of different faces...

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): G06K9/00G06K9/66
Inventor 吴军
Owner CHANGZHOU LENCITY INFORMATION TECH
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