Assistive Computer Vision

Assistive Computer Vision is a specialized branch of computer vision that focuses on developing methods, models, or frameworks designed to perceive and interpret visual environments in order to support individuals with visual impairments in navigating, recognizing, and understanding their surroundings.

437

Publications

20.4K

Citations

1.5K

Authors

497

Institutions

Publications per year

2017–2026

229

Authors

1.5K

  1. JM
    James M. Coughlan

    Smith-Kettlewell Eye Research Institute, United States

    7 publications · 767 citations

    7

    h-index

  2. YS
    Yahia Said

    Northern Border University, Saudi Arabia

    5 publications · 256 citations

    5

    h-index

  3. RȚ
    Ruxandra Țapu

    Institut Polytechnique de Paris, France

    4 publications · 239 citations

    4

    h-index

  4. MB
    Margrit Betke

    Boston University, United States

    4 publications · 625 citations

    4

    h-index

  5. SL
    Sooyeon Lee

    Pennsylvania State University, United States

    4 publications · 137 citations

    4

    h-index

1–5 of 1.5K

Venues

  1. Sensors

    12 publications · 483 citations

    12

    h-index

  2. Applied Sciences

    8 publications · 245 citations

    8

    h-index

  3. Computer Vision and Image Understanding

    CVIU · 6 publications · 314 citations

    6

    h-index

  4. arXiv (Cornell University)

    Repository · 6 publications · 92 citations

    6

    h-index

  5. Electronics

    6 publications · 317 citations

    6

    h-index

1–5