Spatial Context Recognition

Spatial Context Recognition is a computational method that identifies and interprets the physical environment's geometric, topological, and semantic characteristics to determine the user's precise location and spatial relationships among objects within a scene, enabling context-aware augmented reality applications to dynamically adapt content based on the recognized spatial configuration.

25

Publications

3.4K

Citations

92

Authors

60

Institutions

Publications per year

2017–2026

5

Authors

92

  1. JM
    Jani Mäntyjärvi

    VTT Technical Research Centre of Finland, Finland

    2 publications · 65 citations

    2

    h-index

  2. IK
    Ioannis Kompatsiaris

    Information Technologies Institute, Greece

    1 publications · 23 citations

    1

    h-index

  3. BG
    Baining Guo

    Microsoft Research Asia (China), China

    1 publications · 44 citations

    1

    h-index

  4. JJ
    John J. McCann

    Polaroid (United States), United States

    1 publications · 24 citations

    1

    h-index

  5. HJ
    Hugo Jair Escalante

    National Institute of Astrophysics, Optics and Electronics, Mexico

    1 publications · 23 citations

    1

    h-index

1–5 of 92

Venues

  1. 1

    h-index

  2. Journal of Neuroscience

    1 publications · 34 citations

    1

    h-index

  3. Universitätsbibliothek Tübingen

    Repository · 1 publications · 369 citations

    1

    h-index

  4. Learning & Memory

    1 publications · 219 citations

    1

    h-index

  5. Journal of Child Psychology and Psychiatry

    1 publications · 57 citations

    1

    h-index

1–5