Home > Papers

 
 
The registration algorithm of nonlinear scale and improved ORB
Dong Hao 1 *,Lv Dongyue 2
1.Institute of Network Technology, Beijing University of Posts and Telecommunications,Beijing,100876;Academy of Electronics and Information Technology, China Electronics Technology Group Corporation, Beijing 100041
2.Academy of Electronics and Information Technology, China Electronics Technology Group Corporation, Beijing 100041
*Correspondence author
#Submitted by
Subject:
Funding: none
Opened online:11 January 2018
Accepted by: none
Citation: Dong Hao,Lv Dongyue.The registration algorithm of nonlinear scale and improved ORB[OL]. [11 January 2018] http://en.paper.edu.cn/en_releasepaper/content/4743035
 
 
ORB algorithm doesn`t perform well in scale invariance and SIFT algorithm with high time complexity does not respect the natural boundaries of images. Aiming at the issue, we put forward an image registration algorithm based on the nonlinear scale space and improved the ORB. Firstly, the nonlinear scale space is used to smooth noise and retain object boundaries, to set scale parameters based on image entropy and to set proper distance between feature points, so that the ORB detectors are stable. Then, maxima is searched for in scale and spatial location and descriptors are computed. At last, we match features with RANSAC algorithm and hamming distance. We testify our improved algorithm through experiments and demonstrate that it can shorten time of registration, improve greatly robustness and perform well.
Keywords:multimedia; image registration; ORB algorithm; nonlinear scale space; image entropy
 
 
 

For this paper
  • ● PDF (0B)
  • ● Revision 0 　　
  • ● Print this paper
  • ● Recommend this paper to a friend
  • ● Add to my favorite list

    Saved Papers

    Please enter a name for this paper to be shown in your personalized Saved Papers list

Tags
Add yours

Related Papers

Statistics
PDF Downloaded 58
Bookmarked 0
Recommend 0
Comments Array
Submit your papers