Point Feature Tracking

Point Feature Tracking is a visual servoing technique that belongs to the class of feature-based tracking methods, distinguished by its focus on continuously estimating the spatial correspondence of discrete image points across a sequence of frames to guide robotic motion or camera control.

71

Publications

7.1K

Citations

217

Authors

102

Institutions

Publications per year

2017–2026

11

Authors

217

  1. TK
    Takeo Kanade

    Carnegie Mellon University, United States

    4 publications · 521 citations

    4

    h-index

  2. PF
    Paolo Favaro

    University of Bern, Switzerland

    3 publications · 167 citations

    3

    h-index

  3. ET
    Emanuele Trucco

    University of Dundee, United Kingdom

    3 publications · 107 citations

    3

    h-index

  4. SS
    Stefano Soatto

    University of California, Los Angeles, United States

    3 publications · 167 citations

    3

    h-index

  5. SH
    Seth Hutchinson

    University of Illinois Urbana-Champaign, United States

    2 publications · 83 citations

    2

    h-index

1–5 of 217

Venues

  1. Pattern Recognition

    2 publications · 148 citations

    2

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  2. 1

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  3. 1

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  4. 1

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  5. IEEE Transactions on Image Processing

    1 publications · 11 citations

    1

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1–5