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cs.CV2025
iMatcher: Improve matching in point cloud registration via local-to-global geometric consistency learning
Karim Slimani, Catherine Achard, Brahim Tamadazte
This paper presents iMatcher, a fully differentiable framework for feature matching in point cloud registration. The proposed method leverages learned features to predict a geometr…
cs.CV2024★ 2 cited
LoGDesc: Local geometric features aggregation for robust point cloud registration
Karim Slimani, Brahim Tamadazte, Catherine Achard
This paper introduces a new hybrid descriptor for 3D point matching and point cloud registration, combining local geometrical properties and learning-based feature propagation for…