Reflectance Reconstruction

Reflectance Reconstruction is a computational method that distinguishes itself by estimating the intrinsic surface reflectance properties of a scene or object from one or more input images, enabling accurate visualization and analysis of material appearance under varying illumination and viewing conditions.

355

Publications

21.2K

Citations

885

Authors

348

Institutions

Publications per year

2017–2026

94

Authors

885

  1. XT
    Xin Tong

    Microsoft Research Asia (China), China

    11 publications · 639 citations

    11

    h-index

  2. RR
    Ravi Ramamoorthi

    University of California, Berkeley, United States

    11 publications · 994 citations

    11

    h-index

  3. BG
    Baining Guo

    Microsoft Research Asia (China), China

    9 publications · 382 citations

    9

    h-index

  4. JY
    Jon Yngve Hardeberg

    Norwegian University of Science and Technology, Norway

    9 publications · 365 citations

    9

    h-index

  5. HS
    Hans‐Peter Seidel

    Max Planck Institute for Informatics, Germany

    8 publications · 349 citations

    8

    h-index

1–5 of 885

Venues

  1. ACM Transactions on Graphics

    TOG · 28 publications · 2.5K citations

    24

    h-index

  2. IEEE Transactions on Pattern Analysis and Machine Intelligence

    TPAMI · 20 publications · 1.7K citations

    17

    h-index

  3. Journal of the Optical Society of America A

    20 publications · 1.7K citations

    16

    h-index

  4. Computer Graphics Forum

    12 publications · 507 citations

    12

    h-index

  5. Optics Express

    13 publications · 563 citations

    12

    h-index

1–5