Graph-based Stitching
Graph-Based Stitching is a computational framework within image stitching that models pairwise image relationships as a graph structure, where nodes represent images and edges encode geometric or photometric constraints, enabling global consistency optimization through graph-based inference.
12
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2.7K
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46
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22
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2017–2026
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Vivek Kwatra, Arno Schödl, Irfan Essa et al. · 2003 · 1.2K citations
Vivek Kwatra, Arno Schödl, Irfan Essa et al. · ACM Transactions on Graphics · 2003 · 770 citations · Full text
Eliminating ghosting and exposure artifacts in image mosaics
Matt Uyttendaele, Ashley Eden, R. Skeliski · 2005 · 340 citations
Edge-guided Composition Network for Image Stitching
Qinyan Dai, Faming Fang, Juncheng Li et al. · Pattern Recognition · 2021 · 56 citations
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Georgia Institute of Technology
Atlanta, United States
2 h-index
10 publications
10.1K citations

Hunter College
New York, United States
1 h-index
1 publications
16 citations

Renmin University of China
Beijing, China
1 h-index
3 publications
48 citations

Harvard University Press
Cambridge, United States
1 h-index
1 publications
340 citations
City University of New York
New York, United States
1 h-index
1 publications
16 citations
Nokia (United States)
Coppell, United States
1 h-index
2 publications
42 citations
University of Würzburg
Würzburg, Germany
1 h-index
2 publications
74 citations
Wuhan Polytechnic University
Wuhan, China
1 h-index
1 publications
21 citations
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TON · 1 publications · 16 citations
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1 publications · 21 citations
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Repository · 1 publications · 11 citations
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1 publications · 21 citations
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TOG · 1 publications · 770 citations
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