Pose Estimation Optimization is a computational methodology within augmented reality that enhances the accuracy, efficiency, and robustness of determining a device's spatial orientation and position by refining the algorithms and constraints used in pose estimation processes.
114
Publications
5.4K
Citations
369
Authors
144
Institutions
Publications per year
2017–2026
61
Publications
114
Real-Time Camera Tracking and 3D Reconstruction Using Signed Distance Functions
Erik Bylow, Jürgen Sturm, Christian Kerl et al. · 2013 · 205 citations · Full text
Low-latency visual odometry using event-based feature tracks
Beat Kueng, Elias Mueggler, Guillermo Gallego et al. · 2016 · 197 citations
1–5 of 114
Authors
369
- JV
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- HZ
3
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- JJ
3
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- CW
3
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- LM
3
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1–5 of 369
Institutions
144
Huazhong University of Science and Technology
Wuhan, China
3 h-index
11 publications
255 citations
Georgia Institute of Technology
Atlanta, United States
3 h-index
6 publications
436 citations
Centre National de la Recherche Scientifique
Paris, France
3 h-index
9 publications
179 citations
Microsoft Research (United Kingdom)
Cambridge, United Kingdom
3 h-index
5 publications
238 citations
Lund University
Lund, Sweden
3 h-index
6 publications
607 citations
Peking University
Beijing, China
3 h-index
10 publications
547 citations
Institut national de recherche en sciences et technologies du numérique
Le Chesnay-Rocquencourt, France
3 h-index
4 publications
120 citations
ETH Zurich
Zurich, Switzerland
3 h-index
5 publications
137 citations
1–8 of 144
Venues
- IEEE Robotics and Automation Letters
6 publications · 278 citations
6
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- arXiv (Cornell University)
Repository · 5 publications · 354 citations
5
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- IEEE Transactions on Instrumentation and Measurement
3 publications · 95 citations
3
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- 2011 IEEE/RSJ International Conference on Intelligent Robots and Systems
Conference · 3 publications · 33 citations
3
h-index
- Electronics
2 publications · 77 citations
2
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1–5