Grid-Guided Sparse Laplacian Consensus for Robust Feature Matching
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DOI: 10.1109/tip.2025.3539469
Abstract: Feature matching is a fundamental concern widely employed in computer vision applications. This paper introduces a novel and efficacious method named Grid-guided Sparse Laplacian Consensus, rooted in the concept of smooth constraints. To address challenging… read more here.
Keywords: seed; guided sparse; grid; grid guided ... See more keywords