By Topic

An Efficient Registration Algorithm of Multi-view Three-Dimensional Images

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

3 Author(s)
Lirong Wang ; Tokyo Inst. of Technol., Tokyo, Japan ; Fang Xu ; Hagiwara, I.

This paper proposes a kind of feature extraction based efficient registration algorithm including coarse and fine registrations. During coarse registration, feature points are detected, and feature point links are set up according to the relationship establishment among all detected feature points. Iterative closest point (ICP) is used in fine registration to align view pairs after the coarse registration. Experimental results with different real 3D images taken by laser scanner are carried out to compare the convergence and registration error among proposed approaches with classical ICP. The proposed registration approach has high convergence than classical ICP, and can overcome the problems of traditional ICP in low overlapping and bad initial estimate.

Published in:

Computer Science and Information Engineering, 2009 WRI World Congress on  (Volume:1 )

Date of Conference:

March 31 2009-April 2 2009