By Topic

A New Approach for Image Registration in 3D Modeling

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

2 Author(s)
Zezhong Xu ; Changzhou Key Lab. of Software Technol. & Applic., Changzhou, China ; Yanbin Zhuang

Image registration is widely used in 3D modeling. In this paper, an approach for multiview image registration based on augmented Kalman filter is proposed. The position and orientation of viewpoint are considered as augmented system state vector. A simplified system state and two system models are constructed. The system state is augmented and updated recursively. The position and orientation of each viewpoint is estimated. The proposed multiview image registration method can handle the uncertainty efficiently and the registration result is globally consistent. Some experimental results are provided to validate the performance of the proposed method.

Published in:

Information Science and Engineering (ICISE), 2009 1st International Conference on

Date of Conference:

26-28 Dec. 2009