Keypoint Tracking

Keypoint Tracking is a method in visual SLAM that establishes correspondences of distinctive image features across consecutive frames to estimate camera motion and reconstruct scene geometry.

413

Publications

33.2K

Citations

1.3K

Authors

421

Institutions

Publications per year

2017–2026

164

Authors

1.3K

  1. IR
    Ian Reid

    The University of Adelaide, Australia

    5 publications · 377 citations

    5

    h-index

  2. TH
    Tobias Höllerer

    University of California, Santa Barbara, United States

    5 publications · 505 citations

    5

    h-index

  3. GK
    Georg Klein

    University of Oxford, United Kingdom

    5 publications · 5.1K citations

    5

    h-index

  4. SG
    Steffen Gauglitz

    University of California, Santa Barbara, United States

    5 publications · 505 citations

    5

    h-index

  5. HU
    Hideaki Uchiyama

    Kyushu University, Japan

    5 publications · 78 citations

    5

    h-index

1–5 of 1.3K

Venues

  1. arXiv (Cornell University)

    Repository · 18 publications · 540 citations

    12

    h-index

  2. Pattern Recognition

    8 publications · 271 citations

    8

    h-index

  3. Sensors

    6 publications · 123 citations

    8

    h-index

  4. Computer Vision and Image Understanding

    CVIU · 7 publications · 156 citations

    7

    h-index

  5. Pattern Recognition Letters

    7 publications · 172 citations

    7

    h-index

1–5