Marker-based Training Systems

Marker-Based Training Systems is a type of augmented reality training system that relies on predefined visual markers to trigger and anchor digital content within the physical environment, distinguishing it from markerless approaches by requiring explicit visual cues for scene recognition and registration.

10

Publications

220

Citations

34

Authors

10

Institutions

Publications per year

2017–2026

6

Authors

34

  1. JC
    Jack C.P. Cheng

    Hong Kong University of Science and Technology, Hong Kong SAR China

    1 publications · 26 citations

    1

    h-index

  2. AW
    Ayesha Waseem

    Bahria University, Pakistan

    1 publications · 13 citations

    1

    h-index

  3. WW
    Woontack Woo

    Korea Advanced Institute of Science and Technology, South Korea

    1 publications · 12 citations

    1

    h-index

  4. KC
    Keyu Chen

    Hong Kong University of Science and Technology, Hong Kong SAR China

    1 publications · 26 citations

    1

    h-index

  5. MA
    Mohamed Atef Seif

    University of the Ryukyus, Japan

    1 publications · 21 citations

    1

    h-index

1–5 of 34

Venues

  1. Mobile Information Systems

    1 publications · 17 citations

    1

    h-index

  2. Machine Vision Applications

    Conference · 1 publications · 10 citations

    1

    h-index

  3. Procedia Computer Science

    1 publications · 49 citations

    1

    h-index

  4. International Journal of Technology

    1 publications · 17 citations

    1

    h-index

1–4