Retinal Image Matching
Retinal Image Matching is a computational method in visual neuroscience that identifies corresponding points between the left and right retinal images to establish binocular correspondence, distinguished from other registration techniques by its incorporation of neuroanatomical constraints and interocular spatial relationships specific to the primate visual system.
48
Publications
2.2K
Citations
190
Authors
91
Institutions
Publications per year
2017–2026
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Rensselaer Polytechnic Institute
Troy, United States
5 h-index
15 publications
2.3K citations
University of Sussex
Brighton, United Kingdom
3 h-index
5 publications
647 citations

The University of Melbourne
Melbourne, Australia
3 h-index
9 publications
137 citations

Chinese Academy of Sciences
Beijing, China
2 h-index
11 publications
820 citations
University College Dublin
Dublin, Ireland
2 h-index
10 publications
164 citations
University of Arizona
Tucson, United States
2 h-index
3 publications
182 citations
Center for Discovery
Los Alamitos, United States
1 h-index
1 publications
270 citations
Magic Leap (United States)
Plantation, United States
1 h-index
2 publications
34 citations
1–8 of 91
PNAS · 2 publications · 119 citations
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2 publications · 359 citations
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2 publications · 78 citations
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2 publications · 149 citations
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2 publications · 217 citations
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