NDLI: Model-based localization and drift-free user tracking for outdoor augmented reality

Content Provider	IEEE Xplore Digital Library
Author	Karlekar, J. Zhou, S.Z. Nakayama, Y. Weiquan Lu Zhi Chang Loh Hii, D.
Copyright Year	2010
Description	Author affiliation: Interactive Multimedia Lab., Dept. of ECE National University of Singapore (Karlekar, J.; Zhou, S.Z.; Nakayama, Y.; Weiquan Lu; Zhi Chang Loh; Hii, D.)
Abstract	In this paper we present a novel model-based hybrid technique for user localization and drift-free tracking in urban environments. In outdoor augmented reality, instantaneous 6-DoF user localization is achieved with position and orientation sensors such as GPS and gyroscopes. Initial pose obtained with these sensors is dominated by large positional errors due to coarse granularity of GPS data. Subsequent tracking is also erroneous as gyroscopes are prone to drifts and often need recalibration. We propose to use model-to-image registration technique to refine initial rough estimate for accurate user localization. Large positional errors in user localization are mitigated by aligning silhouettes of the model with that of the camera image using shape context descriptors as they are invariant to translation, scale and rotational errors. Once initialized, drift-free tracking is achieved by combining frame-to-frame and model-to-frame feature tracking. Frame-to-frame tracking is done by matching corners whereas edges are used for model-to-frame silhouette tracking. Final camera pose is obtained with M-estimators.
Starting Page	1178
Ending Page	1183
File Size	2820686
Page Count	6
File Format	PDF
ISBN	9781424474912
ISSN	1945788X
e-ISBN	9781424474936
DOI	10.1109/ICME.2010.5583850
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-07-19
Publisher Place	Singapore
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Cameras Shape Context Sensors Tracking Global Positioning System Image edge detection Shape Matching Mobile Augmented Reality Drift-free Camera tracking User Localization
Content Type	Text
Resource Type	Article

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