Sparse 3D Reconstruction

Sparse 3D Reconstruction is a computational technique in scene reconstruction that estimates a three-dimensional structure by recovering a sparse set of 3D points from multiple 2D images, distinguishing itself from dense reconstruction methods through its focus on geometrically significant or feature-based correspondences rather than comprehensive surface modeling.

385

Publications

35.2K

Citations

1.4K

Authors

459

Institutions

Publications per year

2017–2026

175

Authors

1.4K

  1. MP
    Marc Pollefeys

    ETH Zurich, Switzerland

    5 publications · 257 citations

    5

    h-index

  2. KE
    Karen Egiazarian

    5 publications · 9.6K citations

    5

    h-index

  3. FR
    Fabio Remondino

    Fondazione Bruno Kessler, Italy

    5 publications · 194 citations

    5

    h-index

  4. XZ
    Xiaoling Zhang

    University of Electronic Science and Technology of China, China

    4 publications · 192 citations

    4

    h-index

  5. RL
    Randolph L. Moses

    The Ohio State University, United States

    4 publications · 216 citations

    4

    h-index

1–5 of 1.4K

Venues

  1. 11

    h-index

  2. 9

    h-index

  3. ACM Transactions on Graphics

    TOG · 9 publications · 6.7K citations

    9

    h-index

  4. 8

    h-index

  5. Computer Graphics Forum

    6 publications · 352 citations

    6

    h-index

1–5