Range Image Reconstruction

Range Image Reconstruction is a computational method within surface reconstruction that specifically generates a two-dimensional depth map representing the distance between a sensor and corresponding points on a three-dimensional object surface, thereby distinguishing it from other reconstruction techniques by its focus on depth data acquisition and spatial range representation.

214

Publications

12.6K

Citations

564

Authors

220

Institutions

Publications per year

2017–2026

17

Authors

564

  1. MK
    Michael K. Reed

    Columbia University, United States

    5 publications · 144 citations

    5

    h-index

  2. PK
    Peter K. Allen

    Columbia University, United States

    5 publications · 144 citations

    5

    h-index

  3. KI
    Katsushi Ikeuchi

    The University of Tokyo, Japan

    4 publications · 275 citations

    4

    h-index

  4. SZ
    Song Zhang

    Purdue University West Lafayette, United States

    4 publications · 76 citations

    4

    h-index

  5. AW
    Andrew Wallace

    Heriot-Watt University, United Kingdom

    4 publications · 69 citations

    4

    h-index

1–5 of 564

Venues

  1. IEEE Transactions on Pattern Analysis and Machine Intelligence

    TPAMI · 10 publications · 1.1K citations

    10

    h-index

  2. 10

    h-index

  3. Computer Vision and Image Understanding

    CVIU · 8 publications · 293 citations

    8

    h-index

  4. Pattern Recognition

    5 publications · 136 citations

    5

    h-index

  5. International Journal of Computer Vision

    4 publications · 221 citations

    4

    h-index

1–5