Disparity-driven Alignment

Disparity-Driven Alignment is a computational framework in binocular vision science that aligns corresponding images from the two eyes by minimizing retinal disparity through feedback-driven adjustments guided by local luminance and phase differences.

6

Publications

349

Citations

12

Authors

10

Institutions

Publications per year

2017–2026

2

Authors

12

  1. JL
    John L. Semmlow

    Rutgers, The State University of New Jersey, United States

    2 publications · 51 citations

    2

    h-index

  2. GK
    George K. Hung

    Rutgers, The State University of New Jersey, United States

    2 publications · 51 citations

    2

    h-index

  3. MV
    Mario Vigliar

    University of Salerno, Italy

    1 publications · 33 citations

    1

    h-index

  4. JD
    Jian Ding

    University of California, Berkeley, United States

    1 publications · 86 citations

    1

    h-index

  5. RB
    Randolph Blake

    Vanderbilt University, United States

    1 publications · 16 citations

    1

    h-index

1–5 of 12

Venues

  1. Vision Research

    1 publications · 37 citations

    1

    h-index

  2. Journal of Vision

    1 publications · 86 citations

    1

    h-index

  3. Journal of the Optical Society of America A

    1 publications · 16 citations

    1

    h-index

  4. Optometry and Vision Science

    1 publications · 14 citations

    1

    h-index

  5. IEEE Transactions on Image Processing

    1 publications · 163 citations

    1

    h-index

1–5