Surface Reflectance Estimation

Surface Reflectance Estimation is a computational method within the field of computer vision that characterizes the intrinsic reflectance properties of a surface by disentangling illumination and albedo from observed pixel intensities under varying lighting conditions.

392

Publications

27K

Citations

1.1K

Authors

415

Institutions

Publications per year

2017–2026

106

Authors

1.1K

  1. KI
    Katsushi Ikeuchi

    The University of Tokyo, Japan

    10 publications · 1.3K citations

    10

    h-index

  2. RR
    Ravi Ramamoorthi

    University of California, Berkeley, United States

    9 publications · 702 citations

    9

    h-index

  3. XT
    Xin Tong

    Microsoft Research Asia (China), China

    9 publications · 647 citations

    9

    h-index

  4. EH
    Edward H. Adelson

    Massachusetts Institute of Technology, United States

    8 publications · 855 citations

    8

    h-index

  5. ST
    Shoji Tominaga

    Osaka Electro-Communication University, Japan

    8 publications · 691 citations

    8

    h-index

1–5 of 1.1K

Venues

  1. Remote Sensing

    29 publications · 1.3K citations

    21

    h-index

  2. IEEE Transactions on Pattern Analysis and Machine Intelligence

    TPAMI · 23 publications · 2.8K citations

    20

    h-index

  3. Remote Sensing of Environment

    20 publications · 3.9K citations

    19

    h-index

  4. ACM Transactions on Graphics

    TOG · 18 publications · 1.4K citations

    18

    h-index

  5. Journal of the Optical Society of America A

    20 publications · 2.6K citations

    17

    h-index

1–5