Geometric Duality
Geometric Duality is a mathematical transformation in computational geometry that maps points to lines and lines to points in such a way that incidence and alignment relationships are preserved, enabling the reformulation of geometric problems—particularly in intersection detection—into dual spaces where algorithmic solutions may be more efficiently derived.
231
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14.9K
Citations
401
Authors
223
Institutions
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2017–2026
27
Parents
231
New edge-directed interpolation
Xin Li, M.T. Orchard · IEEE Transactions on Image Processing · 2001 · 2K citations
Aaron Hertzmann, Denis Zorin · 2000 · 561 citations · Full text
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Massachusetts Institute of Technology
Cambridge, United States
9 h-index
12 publications
550 citations
University of California, Berkeley
Berkeley, United States
7 h-index
8 publications
368 citations

Centre National de la Recherche Scientifique
Paris, France
7 h-index
10 publications
316 citations

Institute for Advanced Study
Princeton, United States
7 h-index
10 publications
1.5K citations
Stanford University
Stanford, United States
7 h-index
10 publications
629 citations

Tel Aviv University
Tel Aviv, Israel
5 h-index
9 publications
308 citations
Brown University
Providence, United States
4 h-index
4 publications
382 citations

European Organization for Nuclear Research
Geneva, Switzerland
4 h-index
5 publications
196 citations
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Repository · 9 publications · 286 citations
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Repository · 6 publications · 1.2K citations
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5 publications · 422 citations
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5 publications · 159 citations
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4 publications · 472 citations
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