Performance Optimization For Augmented Reality
Performance Optimization for Augmented Reality is a computational methodology aimed at enhancing the efficiency, responsiveness, and resource utilization of augmented reality systems by minimizing latency, reducing computational overhead, and maximizing rendering fidelity within constrained hardware environments.
175
Publications
10.7K
Citations
678
Authors
221
Institutions
Publications per year
2017–2026
119
175
Augmented reality applications in design and manufacturing
A.Y.C. Nee, S. K. Ong, George Chryssolouris et al. · CIRP Annals · 2012 · 747 citations
Neural holography with camera-in-the-loop training
Yifan Peng, Suyeon Choi, Nitish Padmanaban et al. · ACM Transactions on Graphics · 2020 · 493 citations
A comprehensive survey of augmented reality assembly research
Xiao Renshaw Wang, S. K. Ong, A.Y.C. Nee · Advances in Manufacturing · 2016 · 470 citations
Architecture, Design, 3D Modeling +13
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221

University of Central Florida
Orlando, United States
5 h-index
14 publications
1K citations
University of Arizona
Tucson, United States
5 h-index
9 publications
232 citations
Simon Fraser University
Burnaby, Canada
5 h-index
13 publications
378 citations

Nara Institute of Science and Technology
Ikoma, Japan
4 h-index
16 publications
461 citations
Kyung Hee University
Seoul, South Korea
4 h-index
4 publications
713 citations
Korea Advanced Institute of Science and Technology
Daejeon, South Korea
4 h-index
13 publications
425 citations
University of Washington
Seattle, United States
4 h-index
11 publications
279 citations

Gachon University
Seongnam-si, South Korea
4 h-index
6 publications
126 citations
1–8 of 221
11 publications · 379 citations
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TVCG · 6 publications · 433 citations
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TOG · 5 publications · 862 citations
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Repository · 3 publications · 94 citations
3
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TMCCI · 2 publications · 56 citations
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