Fundamental Matrix Estimation
Fundamental Matrix Estimation is a methodological procedure in multi-view geometry that computes the fundamental matrix—a 3×3 rank-2 matrix encoding the epipolar constraint between corresponding points in two uncalibrated images—by estimating the geometric relationship that enables the determination of epipolar lines and correspondences across views.
221
Publications
13.4K
Citations
464
Authors
208
Institutions
Publications per year
2017–2026
28
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221
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464
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Institut national de recherche en sciences et technologies du numérique
Le Chesnay-Rocquencourt, France
12 h-index
22 publications
2.7K citations
University of Oxford
Oxford, United Kingdom
11 h-index
20 publications
2.4K citations

The University of Adelaide
Adelaide, Australia
10 h-index
32 publications
2K citations

Czech Technical University in Prague
Prague, Czechia
10 h-index
21 publications
1K citations

University of Central Florida
Orlando, United States
9 h-index
22 publications
1.1K citations

Hong Kong University of Science and Technology
Hong Kong, Hong Kong
6 h-index
11 publications
349 citations
University of Southern California
Los Angeles, United States
6 h-index
10 publications
399 citations

Centre National de la Recherche Scientifique
Paris, France
5 h-index
12 publications
215 citations
1–8 of 208
TPAMI · 21 publications · 2.8K citations
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5 publications · 102 citations
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CVIU · 4 publications · 309 citations
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3 publications · 39 citations
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3 publications · 88 citations
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