The DOI matches its Crossref record; 15 of the 15 references it cites were found in a registry or an index.
Parallel Tracking and Mapping on a camera phone
Abstract
Camera phones are a promising platform for hand-held augmented reality. As their computational resources grow, they are becoming increasingly suitable for visual tracking tasks. At the same time, they still offer considerable challenges: Their cameras offer a narrow field-of-view not best suitable for robust tracking; images are often received at less than 15 Hz; long exposure times result in significant motion blur; and finally, a rolling shutter causes severe smearing effects. This paper describes an attempt to implement a keyframe-based SLAMsystem on a camera phone (specifically, the Apple iPhone 3 G). We describe a series of adaptations to the Parallel Tracking and Mapping system to mitigate the impact of the device's imaging deficiencies. Early results demonstrate a system capable of generating and augmenting small maps, albeit with reduced accuracy and robustness compared to SLAM on a PC.
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Self-citationMOTION AND STRUCTURE FROM MOTION IN A PIECEWISE PLANAR ENVIRONMENT
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ORB-SLAM3: An Accurate Open-Source Library for Visual, Visual–Inertial, and Multimap SLAM
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On-Manifold Preintegration for Real-Time Visual--Inertial Odometry
Forster, C., Carlone, L., Dellaert, F., & Scaramuzza, D. (2017) · IEEE Transactions on Robotics · doi:10.1109/tro.2016.2597321 · Cited by 1,502
Pose estimation for augmented reality: a hands-on survey
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PL-SLAM: A Stereo SLAM System Through the Combination of Points and Line Segments
Gomez-Ojeda, R., Moreno, F.-A., Zuniga-Noel, D., Scaramuzza, D., & Gonzalez-Jimenez, J. (2019) · IEEE Transactions on Robotics · doi:10.1109/tro.2019.2899783 · Cited by 560
Metadata
- Authors
- Klein, G., & Murray, D.
- Venue
- 2009 8th IEEE International Symposium on Mixed and Augmented Reality
- Publisher
- IEEE
- Published
- 2009-10
- Pages
- 83-86
- OpenAlex
- W2110357983
- Cited by
- 522
- References
- 15
- FWCI
- 67.88
- Type
- conference paper
- Language
- en
- Open access
- closed
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