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

Authors

390

  1. MY
    Ming–Hsuan Yang

    University of California, Merced, United States

    4 publications · 302 citations

    4

    h-index

  2. RK
    Ravi Kumar Jatoth

    National Institute of Technology Warangal, India

    4 publications · 571 citations

    4

    h-index

  3. HN
    Hathiram Nenavath

    National Institute of Technology Warangal, India

    3 publications · 536 citations

    3

    h-index

  4. DW
    Dong Wang

    Dalian University of Technology, China

    3 publications · 275 citations

    3

    h-index

  5. AW
    Akiya Watakabe

    National Institute for Basic Biology, Japan

    2 publications · 41 citations

    2

    h-index

1–5 of 390

Venues

  1. 4

    h-index

  2. Optical Engineering

    3 publications · 65 citations

    3

    h-index

  3. IEEE Transactions on Image Processing

    3 publications · 275 citations

    3

    h-index

  4. Soft Computing

    2 publications · 64 citations

    2

    h-index

  5. arXiv (Cornell University)

    Repository · 2 publications · 40 citations

    2

    h-index

1–5