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

Authors

678

  1. HH
    Hong Hua

    University of Arizona, United States

    5 publications · 123 citations

    5

    h-index

  2. SR
    Stephen R. Ellis

    Ames Research Center, United States

    4 publications · 65 citations

    4

    h-index

  3. SW
    Shin‐Tson Wu

    University of Central Florida, United States

    4 publications · 376 citations

    4

    h-index

  4. GW
    Gordon Wetzstein

    Stanford University, United States

    4 publications · 635 citations

    4

    h-index

  5. DL
    Douglas Lanman

    Human Media, United States

    4 publications · 320 citations

    4

    h-index

1–5 of 678

Venues

  1. Optics Express

    11 publications · 379 citations

    11

    h-index

  2. IEEE Transactions on Visualization and Computer Graphics

    TVCG · 6 publications · 433 citations

    6

    h-index

  3. ACM Transactions on Graphics

    TOG · 5 publications · 862 citations

    5

    h-index

  4. arXiv (Cornell University)

    Repository · 3 publications · 94 citations

    3

    h-index

  5. IEEE Transactions on Mobile Computing

    TMCCI · 2 publications · 56 citations

    2

    h-index

1–5