Skip to main content

Improve the Image Feature-Matching Based on Scale Invariant Feature Transform Algorithm

Buy Article:

$113.00 plus tax (Refund Policy)

Abstract:

SIFT algorithm has strong robustness and stability, which can be applied in many bad conditions to achieve high recognition rate. The 128-dimensional feature descriptor has good independence. However, it also contains redundant information, which makes the calculation amount of following matching increase. An improved SIFT algorithm is proposed to solve the disadvantages of large computation and not meet “real-time” of the original one, which reduces the dimension of the feature vector and reduces the mismatching of SIFT algorithm. It has been proved from the experiment that the improved algorithm can significantly increase running speed and guarantee the robustness. Besides, it can meet “real-time” requirements.

Keywords: DIMENSION; FEATURE-MATCHING; REAL-TIME; ROBUSTNESS

Document Type: Research Article

DOI: http://dx.doi.org/10.1166/asl.2012.2255

Publication date: March 1, 2012

More about this publication?
  • ADVANCED SCIENCE LETTERS is an international peer-reviewed journal with a very wide-ranging coverage, consolidates research activities in all areas of (1) Physical Sciences, (2) Biological Sciences, (3) Mathematical Sciences, (4) Engineering, (5) Computer and Information Sciences, and (6) Geosciences to publish original short communications, full research papers and timely brief (mini) reviews with authors photo and biography encompassing the basic and applied research and current developments in educational aspects of these scientific areas.
  • Editorial Board
  • Information for Authors
  • Subscribe to this Title
  • Ingenta Connect is not responsible for the content or availability of external websites
asp/asl/2012/00000006/00000001/art00148
dcterms_title,dcterms_description,pub_keyword
6
5
20
40
5

Access Key

Free Content
Free content
New Content
New content
Open Access Content
Open access content
Subscribed Content
Subscribed content
Free Trial Content
Free trial content
Cookie Policy
X
Cookie Policy
Ingenta Connect website makes use of cookies so as to keep track of data that you have filled in. I am Happy with this Find out more