Tracking Algorithm Optimization
Tracking Algorithm Optimization is a methodological contribution within augmented reality research that refines the computational processes responsible for estimating and maintaining the position and orientation of objects or users in real time, distinguishing itself by enhancing accuracy, latency, and robustness under dynamic environmental conditions.
110
Publications
5K
Citations
390
Authors
173
Institutions
Publications per year
2017–2026
47
110
Online modeling for realtime facial animation
Sofien Bouaziz, Yangang Wang, Mark V. Pauly · ACM Transactions on Graphics · 2013 · 284 citations · Full text
Keyframe-based tracking for rotoscoping and animation
Aseem Agarwala, Aaron Hertzmann, David Salesin et al. · ACM Transactions on Graphics · 2004 · 209 citations
Head tracking for the Oculus Rift
Steven M. LaValle, Anna Yershova, Max Katsev et al. · 2014 · 207 citations
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Harbin Institute of Technology
Harbin, China
4 h-index
8 publications
372 citations
University of California, Merced
Merced, United States
4 h-index
4 publications
302 citations
National Institute of Technology Warangal
Warangal, India
4 h-index
9 publications
1.2K citations
Dalian University of Technology
Dalian, China
3 h-index
10 publications
967 citations
University of Chinese Academy of Sciences
Beijing, China
3 h-index
5 publications
116 citations
China University of Mining and Technology
Xuzhou, China
2 h-index
5 publications
109 citations
Seoul National University
Seoul, South Korea
2 h-index
4 publications
84 citations
Shandong Institute of Automation
Jinan, China
2 h-index
7 publications
859 citations
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TPAMI · 4 publications · 238 citations
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3 publications · 65 citations
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3 publications · 275 citations
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2 publications · 64 citations
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Repository · 2 publications · 40 citations
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