Structure From Motion

Structure From Motion is a computational method in computer vision that reconstructs three-dimensional scene structure (genus) by estimating camera motion and triangulating feature correspondences across multiple two-dimensional images (differentia).

755

Publications

52.5K

Citations

1.6K

Authors

567

Institutions

Publications per year

2017–2026

147

Authors

1.6K

  1. JO
    J. Oliensis

    Princeton University, United States

    20 publications · 566 citations

    15

    h-index

  2. RC
    Rama Chellappa

    University of Maryland, College Park, United States

    14 publications · 518 citations

    13

    h-index

  3. NA
    Narendra Ahuja

    University of Illinois Urbana-Champaign, United States

    17 publications · 783 citations

    13

    h-index

  4. TS
    Thomas S. Huang

    University of Illinois Urbana-Champaign, United States

    14 publications · 825 citations

    12

    h-index

  5. SS
    Stefano Soatto

    University of California, Los Angeles, United States

    11 publications · 916 citations

    11

    h-index

1–5 of 1.6K

Venues

  1. IEEE Transactions on Pattern Analysis and Machine Intelligence

    TPAMI · 54 publications · 4.4K citations

    33

    h-index

  2. International Journal of Computer Vision

    25 publications · 2.4K citations

    19

    h-index

  3. Computer Vision and Image Understanding

    CVIU · 23 publications · 1.3K citations

    16

    h-index

  4. Vision Research

    13 publications · 445 citations

    11

    h-index

  5. Pattern Recognition

    12 publications · 273 citations

    11

    h-index

1–5