Point Feature Matching

Point Feature Matching is a computational method in multi-view geometry that identifies corresponding image points across different views by establishing geometric and photometric consistency, distinguishing itself from other correspondence techniques through its reliance on localized, distinctive feature descriptors invariant to viewpoint and illumination changes.

264

Publications

12.7K

Citations

819

Authors

321

Institutions

Publications per year

2017–2026

76

Variants

Point Correspondence

Authors

819

  1. DW
    David W. Jacobs

    University of Maryland, College Park, United States

    5 publications · 213 citations

    5

    h-index

  2. QZ
    Qing Zhu

    Southwest Jiaotong University, China

    4 publications · 250 citations

    4

    h-index

  3. HL
    Hongdong Li

    Australian National University, Australia

    3 publications · 258 citations

    3

    h-index

  4. PF
    Pascal Fua

    École Polytechnique Fédérale de Lausanne, Switzerland

    3 publications · 659 citations

    3

    h-index

  5. TS
    Thomas S. Huang

    University of Illinois Urbana-Champaign, United States

    3 publications · 75 citations

    3

    h-index

1–5 of 819