Real-time Particle Optimization

Real-Time Particle Optimization is a computational framework within particle systems that enables dynamic adjustment of particle attributes and behaviors during runtime to achieve optimal visual fidelity and performance efficiency under strict temporal constraints.

3

Publications

123

Citations

11

Authors

3

Institutions

Publications per year

2017–2026

2

Authors

11

  1. ZC
    Zhimin Chen

    Virginia Tech, United States

    1 publications · 63 citations

    1

    h-index

  2. IK
    Indrajit Kurmi

    Johannes Kepler University of Linz, Austria

    1 publications · 47 citations

    1

    h-index

  3. MM
    Monica Mordonini

    University of Parma, Italy

    1 publications · 13 citations

    1

    h-index

  4. LL
    Linyan Liu

    Nanjing University of Science and Technology, China

    1 publications · 63 citations

    1

    h-index

  5. OB
    Oliver Bimber

    Bauhaus-Universität Weimar, Germany

    1 publications · 47 citations

    1

    h-index

1–5 of 11

Institutions

3

  1. Johannes Kepler University of Linz

    Linz, Austria

    1 h-index

    3 publications

    141 citations

  2. Nanjing University of Science and Technology

    Nanjing, China

    1 h-index

    3 publications

    189 citations

  3. University of Parma

    Parma, Italy

    1 h-index

    2 publications

    26 citations

1–3 of 3

Venues

  1. Journal of Real-Time Image Processing

    1 publications · 13 citations

    1

    h-index

  2. Communications Engineering

    1 publications · 47 citations

    1

    h-index

  3. 1

    h-index

1–3