Lighting Estimation

Lighting Estimation is a computational method in augmented reality that determines the directional, intensity, and color properties of ambient illumination in a real-world scene from image or sensor data to enable photorealistic integration of virtual objects.

177

Publications

7.9K

Citations

461

Authors

223

Institutions

Publications per year

2017–2026

64

Authors

461

  1. GD
    Graham D. Finlayson

    University of East Anglia, United Kingdom

    7 publications · 884 citations

    7

    h-index

  2. JL
    Jean‐François Lalonde

    Université Laval, Canada

    7 publications · 746 citations

    7

    h-index

  3. YL
    Yanli Liu

    Sichuan University, China

    6 publications · 126 citations

    6

    h-index

  4. DS
    Dieter Schmalstieg

    Graz University of Technology, Austria

    5 publications · 249 citations

    5

    h-index

  5. QP
    Qunsheng Peng

    Zhejiang University, China

    5 publications · 115 citations

    5

    h-index

1–5 of 461

Venues

  1. IEEE Transactions on Visualization and Computer Graphics

    TVCG · 8 publications · 194 citations

    8

    h-index

  2. Computer Graphics Forum

    8 publications · 300 citations

    8

    h-index

  3. IEEE Transactions on Image Processing

    6 publications · 460 citations

    6

    h-index

  4. 6

    h-index

  5. Color and Imaging Conference

    CIC · 5 publications · 233 citations

    5

    h-index

1–5