Addressing the generalization of 3D registration methods with a featureless baseline and an unbiased benchmark

• Published in: Machine vision and applications Vol. 35; no. 3; p. 41
• Main Authors: Bojanić, David, Bartol, Kristijan, Forest, Josep, Petković, Tomislav, Pribanić, Tomislav
• Format: Journal Article
• Language: English
• Published: Berlin/Heidelberg Springer Berlin Heidelberg 01.05.2024; Springer Nature B.V
• Subjects: Benchmarks; Communications Engineering; Computer Science; Cross correlation; Datasets; Deep learning; Image Processing and Computer Vision; Methods; Networks; Parameters; Pattern Recognition; Registration; Source code; Three dimensional models; Benchmark difficulty assessment; Baseline; Benchmark creation methodology; Featureless 3D registration

Recent 3D registration methods are mostly learning-based that either find correspondences in feature space and match them, or directly estimate the registration transformation from the given point cloud features. Therefore, these feature-based methods have difficulties with generalizing onto point c...