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Multi-orientation multi-scale aggregated registration with cyclic back-projection for multimodal images
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DOI：10.1016/j.imavis.2026.106089.png)
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Abstract
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• Multi-oriented multi-scale gradients enhance cross-modal structural consistency. • Feature abundance and distinctiveness are optimized via hierarchical sparsification. • Cyclic iterative backward projection improves robustness to large rotations. • The proposed framework outperforms ten methods on multimodal datasets.
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