Fully Automatic Registration of 3D Point Clouds

Abstract

We propose a novel technique for the registration of 3D point clouds which makes very few assumptions: we avoid any manual rough alignment or the use of landmarks, displacement can be arbitrarily large, and the two point sets can have very little overlap. Crude alignment is achieved by estimation of the 3D-rotation from two Extended Gaussian Images even… (More)
DOI: 10.1109/CVPR.2006.122

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