Scale-space Theory
Scale-Space Theory is a mathematical framework for multi-scale signal representation that formalizes the notion of scale in visual and spatial data by generating a continuous family of smoothed versions of a signal, differentiating it from other multi-scale methods through its foundation in scale invariance and the principle of non-enhancement of local structure.
615
Publications
43.3K
Citations
1.3K
Authors
598
Institutions
Publications per year
2017–2026
65
Parents
615
Shiftable multiscale transforms
Eero P. Simoncelli, William T. Freeman, Edward H. Adelson et al. · IEEE Transactions on Information Theory · 1992 · 1.3K citations
Scale-space filtering: A new approach to multi-scale description
Andrew Witkin · 2005 · 1.1K citations
1–5 of 615
1.3K
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Eindhoven University of Technology, Netherlands
8 publications · 439 citations
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8
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7
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598

Centre National de la Recherche Scientifique
Paris, France
19 h-index
50 publications
3.6K citations

KTH Royal Institute of Technology
Stockholm, Sweden
19 h-index
23 publications
2.9K citations
Massachusetts Institute of Technology
Cambridge, United States
11 h-index
21 publications
5K citations
Utrecht University
Utrecht, The Netherlands
11 h-index
38 publications
1.4K citations
Institut national de recherche en sciences et technologies du numérique
Le Chesnay-Rocquencourt, France
10 h-index
23 publications
1.6K citations
Eindhoven University of Technology
Eindhoven, The Netherlands
9 h-index
18 publications
760 citations
University of California, Berkeley
Berkeley, United States
9 h-index
15 publications
4.3K citations

University of Oulu
Oulu, Finland
9 h-index
24 publications
482 citations
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TPAMI · 46 publications · 9.4K citations
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26 publications · 1.9K citations
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18 publications · 1.1K citations
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14 publications · 900 citations
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12 publications · 473 citations
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