Temporal Correspondence Estimation

Temporal Correspondence Estimation is a motion estimation technique that identifies and establishes the spatial correspondence of pixels or features across consecutive video frames by modeling the temporal coherence and displacement between them.

22

Publications

1.2K

Citations

71

Authors

35

Institutions

Publications per year

2017–2026

2

Authors

71

  1. KN
    Kiriakos N. Kutulakos

    University of Toronto, Canada

    2 publications · 120 citations

    2

    h-index

  2. MI
    M. Irani

    Weizmann Institute of Science, Israel

    2 publications · 292 citations

    2

    h-index

  3. YC
    Yaron Caspi

    Weizmann Institute of Science, Israel

    2 publications · 292 citations

    2

    h-index

  4. FL
    Flávio Luis Cardeal Pádua

    Federal Center for Technological Education of Minas Gerais, Brazil

    2 publications · 120 citations

    2

    h-index

  5. RC
    R.L. Carceroni

    Universidade Federal de Minas Gerais, Brazil

    2 publications · 120 citations

    2

    h-index

1–5 of 71

Venues

  1. IEEE Transactions on Image Processing

    2 publications · 133 citations

    2

    h-index

  2. 2

    h-index

  3. Brain Research

    1 publications · 34 citations

    1

    h-index

  4. The Journal of the Acoustical Society of America

    JASA · 1 publications · 37 citations

    1

    h-index

  5. Computer Vision Graphics and Image Processing

    1 publications · 17 citations

    1

    h-index

1–5