By Topic

Feature-Based Full-Frame Image Stabilization

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
$33 $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

2 Author(s)
Chih-Yuan Chung ; Nat. Taiwan Univ., Taipei ; Homer H. Chen

Digital image stabilization usually discards boundary pixels and outputs a smaller video. In this paper, we present a new digital image stabilization algorithm that preserves the frame size of output video by pixel filling. The proposed algorithm eliminates the accumulation error by directly estimating the global motions in a transformation chain with reference to a fixed frame. A feature matching method is adopted to save the computational cost of the global motion estimation and to handle large motions. The experimental results show that the proposed algorithm produces stabilized full-frame video sequences with better frame alignment.

Published in:

Multimedia, 2007. ISM 2007. Ninth IEEE International Symposium on

Date of Conference:

10-12 Dec. 2007