zip

Application of SIFT algorithm based on LDA in image registration

  • 2013-09-22
  • 899.69KB
  • Points it Requires : 2

Aiming at the problem that SIFT algorithm is highly complex, has poor real-time performance, and is not practical in high-dimensional image registration, a SIFT algorithm (SIFT-LDA) based on linear discriminant analysis (LDA) is proposed. First, the feature point vector of the image is extracted using SIFT algorithm, and then the LDA method is used to extract features and reduce the dimension. Experiments are conducted on high-dimensional natural images and single face images. The experimental results show that SIFT-LDA algorithm has better real-time performance than traditional SIFT algorithm while ensuring matching accuracy, and its matching time is shortened by nearly half compared with traditional SIFT algorithm.

unfold

You Might Like

Uploader
sinceyoulove
 

Recommended ContentMore

Popular Components

Just Take a LookMore

EEWorld
subscription
account

EEWorld
service
account

Automotive
development
circle

About Us Customer Service Contact Information Datasheet Sitemap LatestNews


Room 1530, 15th Floor, Building B, No.18 Zhongguancun Street, Haidian District, Beijing, Postal Code: 100190 China Telephone: 008610 8235 0740

Copyright © 2005-2024 EEWORLD.com.cn, Inc. All rights reserved 京ICP证060456号 京ICP备10001474号-1 电信业务审批[2006]字第258号函 京公网安备 11010802033920号
×