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Lilita Kiforenko

1 accepted papers

2017

Rotational Subgroup Voting and Pose Clustering for Robust 3D Object Recognition

ICCV 2017poster

It is possible to associate a highly constrained subset of relative 6 DoF poses between two 3D shapes, as long as the local surface orientation, the normal vector, is available at every surface point. Local shape features can be used to find putative point correspondences between the models due to t…

Cited by 83PDFScholar