Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

Face recognition method and system based on two-dimensional discriminant features

A two-dimensional feature and feature decomposition technology, applied in the field of computer vision and image recognition, can solve problems such as increased computational complexity

Active Publication Date: 2015-10-07
SUZHOU UNIV
View PDF4 Cites 11 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] In view of this, the present invention provides a face recognition method and system based on two-dimensional discriminant features to overcome the problem of increased computational complexity in the prior art due to the high dimensionality of sample data in the real world, and to achieve more An effective and efficient face image feature extraction scheme

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
  • Face recognition method and system based on two-dimensional discriminant features
  • Face recognition method and system based on two-dimensional discriminant features
  • Face recognition method and system based on two-dimensional discriminant features

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0051] The following will clearly and completely describe the technical solutions in the embodiments of the application with reference to the drawings in the embodiments of the application. Apparently, the described embodiments are only some of the embodiments of the application, not all of them. Based on the embodiments in this application, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the scope of protection of this application.

[0052] The invention discloses a face recognition method and system based on two-dimensional discriminant features. Through discriminative learning of face training images, the local intra-class divergence is compacted and the local inter-class divergence is separated, in order to effectively maintain the distance between image pixels. Topological structure and intrinsic correlation, design a discriminative feature extraction system based on matrix description, which can directly act...

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 face recognition method and a face recognition system based on two-dimensional discriminant features. Discrimination learning is performed by using face training images; local intra-class divergence is tightened; and local inter-class divergence is separated. In order to effectively keep the topological structures and the intrinsic relevance between image pixels, a discriminant feature extracting system based on matrix description is designed, can be directly applied to a face image without destroying topological structures and intrinsic relevance between image pixels, thereby improving system performance. Induction of non-sample images is that a testing sample is mapped to an orthogonal projection output by the system so as to input extracted face image two-dimensional features to a nearest neighbor classifier for classification; a label of a training sample that has the greatest similarity or minimum distance to the testing sample is taken and used for distinguishing the classification of the face testing image, so as to obtain a most accurate face recognition result. In addition, according to the face recognition method and system provided by the invention, the feature extraction and classification can be directly carried out on the face image, so that the system efficiency is effectively improved, and the system expansibility is good.

Description

technical field [0001] This application relates to the technical fields of computer vision and image recognition, and more specifically, to a face recognition method and system based on two-dimensional discriminant features. Background technique [0002] The rapid development of the information age has made human society change with each passing day, and the importance of data and information in this process is increasing day by day. In daily life, face images can be seen everywhere, and many industries are eager to identify them accurately. These requirements have made face recognition technology an extremely important research topic in computer vision and pattern recognition. Face image recognition technology uses computers to digitize images for data analysis and feature extraction to complete the category determination of face images. This technology is of great significance in the fields of machine vision systems, identity recognition systems, etc., and the social 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): G06K9/00
CPCG06V40/168G06V40/172
Inventor 张召汤煜张莉李凡长江威明
Owner SUZHOU UNIV
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products