Perceptual Texture Visualization

Perceptual Texture Visualization is a visualization method that encodes surface texture properties according to human visual perception, differentiating itself from purely geometric or photometric approaches by emphasizing perceptually relevant texture features derived from psychophysical models.

4

Publications

296

Citations

5

Authors

5

Institutions

Publications per year

2017–2026

0

Authors

5

  1. JT
    James T. Enns

    University of British Columbia, Canada

    3 publications · 274 citations

    3

    h-index

  2. CG
    Christopher G. Healey

    North Carolina State University, United States

    3 publications · 274 citations

    3

    h-index

  3. AB
    Alethea Bair

    University of New Hampshire at Manchester, United States

    1 publications · 22 citations

    1

    h-index

  4. CW
    Colin Ware

    University of New Hampshire, United States

    1 publications · 22 citations

    1

    h-index

  5. DH
    Donald H. House

    Texas A&M University, United States

    1 publications · 22 citations

    1

    h-index

1–5 of 5

Venues

  1. IEEE Transactions on Visualization and Computer Graphics

    TVCG · 2 publications · 226 citations

    2

    h-index

1–1