Next Article in Journal
A Novel Energy-Aware Distributed Clustering Algorithm for Heterogeneous Wireless Sensor Networks in the Mobile Environment
Next Article in Special Issue
Grüt: A Gardening Sensor Kit for Children
Previous Article in Journal
Disposable Non-Enzymatic Glucose Sensors Using Screen-Printed Nickel/Carbon Composites on Indium Tin Oxide Electrodes
Previous Article in Special Issue
Game Design to Measure Reflexes and Attention Based on Biofeedback Multi-Sensor Interaction
Article Menu

Export Article

Open AccessArticle
Sensors 2015, 15(12), 31092-31107; doi:10.3390/s151229847

Sensor-Aware Recognition and Tracking for Wide-Area Augmented Reality on Mobile Phones

1
School of Optoelectronics, Beijing Institute of Technology, Beijing 100081, China
2
School of Computer Science and Technology, Beijing Institute of Technology, Beijing 100081, China
*
Author to whom correspondence should be addressed.
Academic Editors: Fabrizio Lamberti, Andrea Sanna and Jon Rokne
Received: 28 August 2015 / Revised: 4 December 2015 / Accepted: 8 December 2015 / Published: 10 December 2015
(This article belongs to the Special Issue Sensors for Entertainment)
View Full-Text   |   Download PDF [5050 KB, uploaded 10 December 2015]   |  

Abstract

Wide-area registration in outdoor environments on mobile phones is a challenging task in mobile augmented reality fields. We present a sensor-aware large-scale outdoor augmented reality system for recognition and tracking on mobile phones. GPS and gravity information is used to improve the VLAD performance for recognition. A kind of sensor-aware VLAD algorithm, which is self-adaptive to different scale scenes, is utilized to recognize complex scenes. Considering vision-based registration algorithms are too fragile and tend to drift, data coming from inertial sensors and vision are fused together by an extended Kalman filter (EKF) to achieve considerable improvements in tracking stability and robustness. Experimental results show that our method greatly enhances the recognition rate and eliminates the tracking jitters. View Full-Text
Keywords: mobile augmented reality; sensor-aware scene recognition; VLAD; sensor fusion mobile augmented reality; sensor-aware scene recognition; VLAD; sensor fusion
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

Scifeed alert for new publications

Never miss any articles matching your research from any publisher
  • Get alerts for new papers matching your research
  • Find out the new papers from selected authors
  • Updated daily for 49'000+ journals and 6000+ publishers
  • Define your Scifeed now

SciFeed Share & Cite This Article

MDPI and ACS Style

Chen, J.; Cao, R.; Wang, Y. Sensor-Aware Recognition and Tracking for Wide-Area Augmented Reality on Mobile Phones. Sensors 2015, 15, 31092-31107.

Show more citation formats Show less citations formats

Related Articles

Article Metrics

Article Access Statistics

1

Comments

[Return to top]
Sensors EISSN 1424-8220 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top