Essential Matrix
The Essential Matrix is a 3×3 matrix in camera geometry that encodes the epipolar constraint between two calibrated views, relating corresponding image points through the relative rotation and translation of the cameras.
105
Publications
6.1K
Citations
250
Authors
104
Institutions
Publications per year
2017–2026
32
Parents
105
Learning to Find Good Correspondences
Kwang Moo Yi, Eduard Trulls, Y. Ono et al. · HAL (Le Centre pour la Communication Scientifique Directe) · 2018 · 546 citations · Full text
Dániel Baráth · 2018 · 351 citations
Learning Two-View Correspondences and Geometry Using Order-Aware Network
Jiahui Zhang, Dawei Sun, Zixin Luo et al. · 2019 · 336 citations
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104
ETH Zurich
Zurich, Switzerland
9 h-index
21 publications
1K citations

Australian National University
Canberra, Australia
6 h-index
12 publications
630 citations
Institut national de recherche en sciences et technologies du numérique
Le Chesnay-Rocquencourt, France
6 h-index
6 publications
728 citations

Data61
Sydney, Australia
5 h-index
9 publications
388 citations
University of Illinois Urbana-Champaign
Urbana, United States
4 h-index
9 publications
971 citations

Czech Technical University in Prague
Prague, Czechia
4 h-index
6 publications
547 citations
École Polytechnique Fédérale de Lausanne
Lausanne, Switzerland
4 h-index
10 publications
1.9K citations
Centre Inria de l'Université Grenoble Alpes
Montbonnot-Saint-Martin, France
3 h-index
3 publications
199 citations
1–8 of 104
TPAMI · 9 publications · 556 citations
9
h-index
Repository · 6 publications · 141 citations
6
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Repository · 2 publications · 185 citations
3
h-index
2 publications · 359 citations
2
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IJGI · 1 publications · 10 citations
2
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