Robust affine point matching via quadratic assignment on Grassmannians
Results and benchmarks
Robust affine point matching via quadratic assignment on Grassmannians presents a algorithm approach for affine transformation.
Benchmark evidence is limited
Evidence graph: 2 refs, 1 links.
Utility signals: depth 60/100, grounding 58/100, status medium.
Implementation
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Time to first repro: a few hours
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Reproduction readiness
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Validation caveat
Hugging Face artifacts
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Research context
2
Citations
15
References
Tasks
Affine transformation, Matching (statistics), Point set registration, Quadratic equation, Point (geometry), Affine combination, Computer science, Pattern recognition (psychology)
Methods
Algorithm, Mathematical optimization
Domains
Mathematics, Artificial intelligence
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