Tactile Image Processing

Tactile Image Processing is a computational framework that systematically analyzes and interprets spatially distributed tactile sensor data to extract meaningful surface features, deformation patterns, or object properties, distinguishing it from general image processing by its specialized handling of non-visual, pressure- or force-based tactile signals captured through physical contact.

52

Publications

1.9K

Citations

155

Authors

73

Institutions

Publications per year

2017–2026

17

Authors

155

  1. KE
    Kenneth E. Barner

    University of Delaware, United States

    5 publications · 173 citations

    5

    h-index

  2. HL
    Hongbin Liu

    King's College London, United Kingdom

    3 publications · 181 citations

    3

    h-index

  3. SL
    Shan Luo

    University of Liverpool, United Kingdom

    3 publications · 173 citations

    3

    h-index

  4. FT
    Fernando Torres

    University of Alicante, Spain

    2 publications · 24 citations

    2

    h-index

  5. KS
    Kazuhiro Shimonomura

    Ritsumeikan University, Japan

    2 publications · 47 citations

    2

    h-index

1–5 of 155

Venues

  1. IEEE Sensors Journal

    3 publications · 171 citations

    3

    h-index

  2. Medical & Biological Engineering & Computing

    2 publications · 27 citations

    2

    h-index

  3. arXiv (Cornell University)

    Repository · 2 publications · 24 citations

    2

    h-index

  4. Sensors and Actuators A Physical

    2 publications · 102 citations

    2

    h-index

  5. 2

    h-index

1–5