Scheduled System Maintenance:
On May 6th, system maintenance will take place from 8:00 AM - 12:00 PM ET (12:00 - 16:00 UTC). During this time, there may be intermittent impact on performance. We apologize for the inconvenience.
By Topic

Applying robust structure from motion to markerless augmented reality

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)
Mooser, J. ; Univ. of Southern California, Los Angeles, CA, USA ; You, S. ; Neumann, U. ; Quan Wang

We demonstrate a complete system for markerless augmented reality using robust structure from motion. The proposed system includes two main components. The first is a means of learning the appearance of complex 3D objects and augmenting them with virtual annotations. Its output is database of recognizable landmarks along with 3D descriptions of accompanying virtual objects. The second component uses this data to recognize the previously learned landmarks, recover camera pose, and render the associated virtual content. Both components make use of the recently developed subtrack optimization algorithm for structure from motion, which we demonstrate to be a useful tool for both learning the structure of objects and tracking camera pose after recognition. The complete system is demonstrated on several complex real-world examples.

Published in:

Applications of Computer Vision (WACV), 2009 Workshop on

Date of Conference:

7-8 Dec. 2009