By Topic

A new scale invariant feature detector and modified SURF descriptor

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

4 Author(s)
Hui Huang ; Nat. Digital Switching Syst. Eng. & Technol. Res. Center, Zhengzhou, China ; Lizhong Lu ; Bin Yan ; Jian Chen

Extracting distinctive scale invariant features from images of the same scene or object is very important in many computer vision applications, and there has been significant research into the scale invariant feature detectors and descriptors. Some of these methods have emphasized on computational speed and accuracy, so that they can enable lots of real-time applications with reduced computational requirements and better performance. The purpose of this paper is to introduce a new scale invariant octagonal center-surround detector, named OCT, and give a modified SURF descriptor named I-SURF descriptor. OCT detector computes responses at every pixel and all scale, and could be implemented efficiently by using integral image and slanted integral image for image convolutions. I-SURF modifies the SURF descriptor by considering the boundary effect of the adjacent subregions, and introduces index vector to speed up matching. The evaluation system provided by Mikolajczyk is applied to OCT and I-SURF. Experiments of the repeatability score, matching accuracy and timing proved that our detector and descriptor have better performance than SURF and SIFT.

Published in:

Natural Computation (ICNC), 2010 Sixth International Conference on  (Volume:7 )

Date of Conference:

10-12 Aug. 2010