NDLI: Fusing online and offline information for stable 3D tracking in real-time

Content Provider	IEEE Xplore Digital Library
Author	Vacchetti, L. Lepetit, V. Fua, P.
Copyright Year	2003
Description	Author affiliation: Comput. Vision Lab., Swiss Fed. Inst. of Technol. (EPFL), Lausanne, Switzerland (Vacchetti, L.; Lepetit, V.; Fua, P.)
Abstract	We propose an efficient online real-time solution for single-camera 3D tracking of rigid objects that can handle large camera displacements, drastic aspect changes, and partial occlusions. While the offline camera registration problem can be considered as essentially solved, robust online tracking remains an open issue because many real-time algorithms described in the literature still lack robustness and are prone to drift and jitter. To solve these problems, we have developed a robust approach to 3D feature matching that can handle wide-baseline matching: our method merges the information from preceding frames in traditional recursive tracking fashion with that provided by a very limited number of keyframes created during an offline stage. This combination results in a system that does not suffer from the above difficulties and can deal with drastic aspect changes. We use augmented reality applications to demonstrate its behavior because they are particularly demanding in terms of tracking performance.
Sponsorship	IEEE Comput. Soc Tech. Committee on Pattern Anal. & Machine Intelligence (TCPAMI)
File Size	974147
File Format	PDF
ISBN	0769519008
ISSN	10636919
DOI	10.1109/CVPR.2003.1211476
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2003-06-18
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Robustness Cameras Jitter Augmented reality Target tracking Computer vision Laboratories Shape Image sequences Computer Society
Content Type	Text
Resource Type	Article
Subject	Computer Vision and Pattern Recognition Software

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