Vol. 165, Issue 2, February 2014, pp. 137-141

Abstract: Affine Scale Invariant Feature Transform (ASIFT) can obtain fully affine invariance, however, its time cost reaches about twice that in Scale Invariant Feature Transform (SIFT). We propose an improved ASIFT algorithm based on feature points in scale space for real-time application. In order to detect the affine invariant feature point, we establish a second-order difference of Gaussian (DOG) pyramid and replace the extreme detection in the DOG pyramid by zero detection in the proposed second-order DOG pyramid, which decreases the complexity of the scheme. Experimental results show that the proposed method has a big progress in the real-time performance compared to the traditional one, while preserving the fully affine invariance and precision.

Keywords: Scale space, Affine invariance, Scale invariant feature transform, Difference of Gaussian.

Click <here> or title of paper to download the full pages article in pdf format

Subscribe the full-page Sensors & Transducers journal in print (paper) or pdf formats

(shipping cost by standard mail for paper version is included)

(25 % discount for IFSA Members)

Alternatively we accept a money transfer to our bank account. Please contact for details: sales@sensorsportal.com

Download <here> the Library Journal Recommendation Form

1999 - 2014 Copyright ©, International Frequency Sensor Association (IFSA) Publishing, S.L. All Rights Reserved.

Home - News - Links - Archives - Tools - Voltage-to-Frequency Converters - Standardization - Patents - Marketplace - Projects - Wish List - e-Shop - Sensor Jobs - Membership - Videos - Publishing - Site Map - Subscribe - Search

 Members Area -Sensors Portal -Training Courses - S&T Digest - For advertisers - Bookstore - Forums - Polls - Submit Press Release - Submit White Paper - Testimonies - Twitter - Facebook - LinkedIn