Cart (Loading....) | Create Account
Close category search window
 

Augmented Reality System for Accelerometer Equipped Mobile Devices

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)
Skoczewski, M. ; Grad. Sch. of Sci. & Eng., Saitama Univ., Saitama, Japan ; Maekawa, H.

In this paper, we present a novel approach for mobile augmented reality system. We estimate the 3D camera pose by detecting local invariant image features and combining them with the camera's accelerometer data. We applied NELFD - Neuroevolved Local Feature Descriptor that encodes data around points of interest in the image using a neural network with evolved topology and weights. For every image frame, a correspondence between 2D feature points is calculated and the camera's pose is established based on additional sensor information. Generally mobile systems are low performance and equipped with low-grade camera. Thus, due to estimation accuracy and low computational complexity our approach has been considered as a new alternative in the mobile augmenting process. Experimental evaluation proved that our method is capable of real-time pose tracking and augmentation in an unconstrained environment.

Published in:

Computer and Information Science (ICIS), 2010 IEEE/ACIS 9th International Conference on

Date of Conference:

18-20 Aug. 2010

Need Help?


IEEE Advancing Technology for Humanity About IEEE Xplore | Contact | Help | Terms of Use | Nondiscrimination Policy | Site Map | Privacy & Opting Out of Cookies

A not-for-profit organization, IEEE is the world's largest professional association for the advancement of technology.
© Copyright 2014 IEEE - All rights reserved. Use of this web site signifies your agreement to the terms and conditions.