Shape From Contour

Shape From Contour is a computational vision theory that infers three-dimensional object geometry from two-dimensional boundary configurations by interpreting contour discontinuities, junctions, and curvature as cues to surface occlusion and depth discontinuity.

401

Publications

18.2K

Citations

999

Authors

441

Institutions

Publications per year

2017–2026

48

Authors

999

  1. FU
    F. Ulupinar

    University of Southern California, United States

    7 publications · 240 citations

    7

    h-index

  2. RN
    R. Nevatia

    University of Southern California, United States

    7 publications · 268 citations

    7

    h-index

  3. PJ
    Philip J. Kellman

    University of California, Los Angeles, United States

    5 publications · 207 citations

    5

    h-index

  4. JP
    Jean Ponce

    Institut national de recherche en sciences et technologies du numérique, France

    5 publications · 461 citations

    5

    h-index

  5. RC
    Roberto Cipolla

    University of Cambridge, United Kingdom

    5 publications · 367 citations

    5

    h-index

1–5 of 999

Venues

  1. IEEE Transactions on Pattern Analysis and Machine Intelligence

    TPAMI · 26 publications · 2.5K citations

    24

    h-index

  2. Pattern Recognition

    11 publications · 375 citations

    11

    h-index

  3. Perception

    12 publications · 388 citations

    11

    h-index

  4. 11

    h-index

  5. Journal of Vision

    11 publications · 297 citations

    10

    h-index

1–5