Shape Interpretation

Shape Interpretation is a methodological framework within the domain of engineering graphics that enables the cognitive and systematic reconstruction of three-dimensional object geometry from two-dimensional first-angle projection views by identifying spatial relationships, feature correspondence, and geometric continuity across orthogonal planes.

234

Publications

15.3K

Citations

535

Authors

269

Institutions

Publications per year

2017–2026

35

Authors

535

  1. AP
    Alex Pentland

    Massachusetts Institute of Technology, United States

    7 publications · 2.6K citations

    7

    h-index

  2. MS
    Michela Spagnuolo

    Istituto di Matematica Applicata e Tecnologie Informatiche, Italy

    6 publications · 210 citations

    6

    h-index

  3. RW
    Roland W. Fleming

    Justus-Liebig-Universität Gießen, Germany

    5 publications · 108 citations

    5

    h-index

  4. KE
    Kevin Ellis

    Massachusetts Institute of Technology, United States

    4 publications · 180 citations

    4

    h-index

  5. LG
    Leonidas Guibas

    Stanford University, United States

    4 publications · 718 citations

    4

    h-index

1–5 of 535

Venues

  1. IEEE Transactions on Pattern Analysis and Machine Intelligence

    TPAMI · 17 publications · 3.1K citations

    14

    h-index

  2. ACM Transactions on Graphics

    TOG · 10 publications · 1K citations

    10

    h-index

  3. International Joint Conference on Artificial Intelligence

    Conference · 5 publications · 264 citations

    5

    h-index

  4. Perception

    5 publications · 155 citations

    5

    h-index

  5. Vision Research

    4 publications · 134 citations

    4

    h-index

1–5