Reassembling Broken Objects using Breaking Curves
Ali Alagrami Luca Palmieri Sinem Aslan Marcello Pelillo Sebastiano Vascon
Reassembling 3D broken objects is a challenging task. A robust solution that
generalizes well must deal with diverse patterns associated with different
types of broken objects. We propose a method that tackles the pairwise assembly
of 3D point clouds, that is agnostic on the type of object, and that relies
solely on their geometrical information, without any prior information on the
shape of the reconstructed object. The method receives two point clouds as
input and segments them into regions using detected closed boundary contours,
known as breaking curves. Possible alignment combinations of the regions of
each broken object are evaluated and the best one is selected as the final
alignment. Experiments were carried out both on available 3D scanned objects
and on a recent benchmark for synthetic broken objects. Results show that our
solution performs well in reassembling different kinds of broken objects.