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

Adaptive weighting local constraint sparse coding method

An adaptive weighting and local constraint technology, applied in the field of pattern recognition, can solve the problems of noise influence, difficulty in selecting measurement standards, etc., and achieve the effect of efficient reconstruction

Active Publication Date: 2019-09-27
SHENYANG AEROSPACE UNIVERSITY
View PDF2 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0006] At present, a variety of measurement functions have been proposed and used to measure the difference between two face images, but because they use different assumptions or design principles, they are only suitable for describing special types of data structures and are susceptible to various noises. , it is difficult to choose the optimal measurement standard in the actual face recognition application

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
  • Adaptive weighting local constraint sparse coding method
  • Adaptive weighting local constraint sparse coding method
  • Adaptive weighting local constraint sparse coding method

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0055] The present invention applies the provided sparse coding method based on adaptive weighted local constraints to the problem of face recognition and detection. At the same time, the effectiveness of the proposed scheme is further verified in two public face image databases, namely: ORL and AR.

[0056] In the ORL face database, there are a total of 40 people, and each person contains 10 face images. These face images come from different lighting conditions, facial expressions (eyes open or closed, smiling or not smiling), and facial details (glasses or not). Considering the computational efficiency of the algorithm during the experiment, we reduced the size of all face images in the database to 64×64 pixels in advance. figure 1 Shown in are different face images belonging to the same person.

[0057] In the AR face database, there are a total of 4000 frontal face images of 70 men and 56 women, each of which contains 26 face images taken under different conditions. The ...

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 belongs to the technical field of pattern recognition and medical image processing, and particularly relates to an adaptive weighting local constraint sparse coding method which solves the problem that a single metric function is difficult to accurately describe the similarity between samples. In order to fully explore the internal structure of the data, the local constraint is constructed by fusing the adaptive weighting with multiple metric functions, meanwhile, the local constraint and the sparse constraint are fused, namely, a small number of adjacent training samples are constrained to be reconstructed, so that the purpose of efficient reconstruction is achieved.

Description

technical field [0001] The invention belongs to the technical field of pattern recognition, and in particular relates to an adaptive weighted local constraint sparse coding method. Background technique [0002] With the continuous development and progress of science and technology, the world today has entered an information age. In the information society, the invisibility and socialization of citizenship have become the most important features. Therefore, on the premise of ensuring that citizens' personal safety is not violated, the authentication of the correctness and uniqueness of citizenship has become an important and difficult topic in the field of information technology research. At present, in most cases, the traditional identification technology is usually used to verify the identity, and passwords and keys are the easiest to be stolen and cracked. Therefore, they have certain security risks. In order to avoid the occurrence of hidden dangers, biometric identific...

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): G06K9/62G06K9/00
CPCG06V40/16G06F18/2136G06F18/214Y02T10/40
Inventor 周唯
Owner SHENYANG AEROSPACE UNIVERSITY
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

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic, Popular Technical Reports.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com