Artificial Marker Systems

Artificial Marker Systems is a marker-based augmented reality framework that employs synthetically designed, geometrically precise visual markers as the primary means for camera pose estimation and virtual content registration, distinguished from natural feature tracking by its reliance on pre-defined, high-contrast artificial patterns optimized for robust detection and low-latency tracking.

46

Publications

5.2K

Citations

149

Authors

57

Institutions

Publications per year

2017–2026

10

Authors

149

  1. AA
    Andrea Albarelli

    Ca' Foscari University of Venice, Italy

    3 publications · 197 citations

    3

    h-index

  2. FB
    Filippo Bergamasco

    Ca' Foscari University of Venice, Italy

    3 publications · 197 citations

    3

    h-index

  3. AT
    Andrea Torsello

    Ca' Foscari University of Venice, Italy

    3 publications · 197 citations

    3

    h-index

  4. MA
    Mark A. Fiala

    Washington University in St. Louis, United States

    2 publications · 1.1K citations

    2

    h-index

  5. BM
    Bruno Marques Ferreira da Silva

    Universidade Federal do Rio Grande do Norte, Brazil

    2 publications · 41 citations

    2

    h-index

1–5 of 149

Venues

  1. Sensors

    2 publications · 43 citations

    2

    h-index

  2. International Journal of Advanced Robotic Systems

    ARS · 2 publications · 35 citations

    2

    h-index

  3. 2

    h-index

  4. Healthcare Informatics Research

    HIR · 1 publications · 20 citations

    1

    h-index

  5. IEEE/ASME Transactions on Mechatronics

    1 publications · 67 citations

    1

    h-index

1–5