Essential Matrix Estimation
Essential Matrix Estimation is the geometric inference process of determining the essential matrix—a 3×3 matrix encoding the relative rotation and translation between two calibrated camera views—from a set of corresponding image points, up to scale, in the context of multi-view geometry.
81
Publications
5.5K
Citations
203
Authors
97
Institutions
Publications per year
2017–2026
24
Parents
81
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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ETH Zurich
Zurich, Switzerland
6 h-index
15 publications
874 citations
Institut national de recherche en sciences et technologies du numérique
Le Chesnay-Rocquencourt, France
5 h-index
5 publications
612 citations
École Polytechnique Fédérale de Lausanne
Lausanne, Switzerland
4 h-index
10 publications
1.9K citations

Czech Technical University in Prague
Prague, Czechia
4 h-index
6 publications
547 citations

Australian National University
Canberra, Australia
4 h-index
6 publications
219 citations

Data61
Sydney, Australia
4 h-index
6 publications
178 citations
Wuhan University
Wuhan, China
3 h-index
6 publications
135 citations

University of Victoria
Victoria, Canada
3 h-index
3 publications
607 citations
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TPAMI · 9 publications · 1.1K citations
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Repository · 3 publications · 86 citations
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Repository · 3 publications · 223 citations
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2 publications · 97 citations
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1 publications · 27 citations
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