By Topic

A Registration Method Based on Nature Feature with KLT Tracking Algorithm for Wearable Computers

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)
Teng Fei ; Sch. of Comput. Sci. & Eng., Beihang Univ., Beijing ; Liang Xiao-hui ; He Zhi-ying ; Hua Guo-liang

KLT algorithm has been widely used in the registration process for natural features tracking in augmented reality (AR) systems. However, KLT is vulnerable by surrounding environments, and the feature points on screen borderlines or once be occluded may not be tracked persistently. Homographic matrices cannot be calculated accurately due to these disadvantages, which will result in registration failure. In this paper, KLT algorithm was improved based on the updating strategy of feature-points set, moreover, we applied RANSAC algorithm to filter mismatched feature points for calculating homographic matrices precisely. The new method was implemented in a prototype system which ran on a wearable computer, and the experiments results show that our system can not only track the feature points stably but also ensure the accuracy and the effectiveness of registration.

Published in:

Cyberworlds, 2008 International Conference on

Date of Conference:

22-24 Sept. 2008