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Complementary Part Detection and Reassembly of 3D Fragments
Abstract
This chapter presents an algorithm for identifying complementary site of objects broken into two parts. For a given 3D scanned image of broken objects, the algorithm identifies the rough sites of the broken object, transforms the object to a suitable alignment, registers it with its complementary part which belongs to the same object, and finds the local correspondence among the fragmented parts. The presented algorithm uses multiple granularity descriptors and edge extraction to detect the exact location of multiple cleavage sites in the object. It greatly reduces the amount of information to be matched and also helps in identification of the parts; as a result it reduces the computational time in the processing. It is also applicable to all triangulated surface data even in the presence of noise.
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