Object Recognition Support

Object Recognition Support is a computational method designed to enhance accessibility in augmented reality by enabling systems to identify and interpret real-world objects, thereby providing contextual assistance to users with sensory or cognitive impairments.

18

Publications

650

Citations

70

Authors

28

Institutions

Publications per year

2017–2026

4

Authors

70

  1. MF
    Muhammad Fahad

    University of Engineering and Technology Peshawar, Pakistan

    1 publications · 32 citations

    1

    h-index

  2. SU
    Salim Ullah

    Technische Universität Dresden, Germany

    1 publications · 32 citations

    1

    h-index

  3. RS
    Riley Spahn

    Columbia University, United States

    1 publications · 30 citations

    1

    h-index

  4. WH
    Wu‐Yuin Hwang

    National Central University, Taiwan

    1 publications · 12 citations

    1

    h-index

  5. DS
    Daisuke Sato

    IBM Research - Tokyo, Japan

    1 publications · 61 citations

    1

    h-index

1–5 of 70

Venues

  1. Journal of Imaging

    1 publications · 28 citations

    1

    h-index

  2. Journal of Computer Assisted Learning

    1 publications · 12 citations

    1

    h-index

  3. Quarterly Journal of Experimental Psychology

    QJEP · 1 publications · 12 citations

    1

    h-index

  4. Computer Methods and Programs in Biomedicine

    1 publications · 62 citations

    1

    h-index

  5. Eurographics

    Repository · 1 publications · 12 citations

    1

    h-index

1–5