Comparison of nearest-neighbor-search strategies and implementations for efficient shape registration

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Summary

This paper compares several libraries for nearest neighbor search (NNS) on both simulated and real data with a focus on shape registration and presents a novel efficient implementation of NNS via k-d trees as well as a novel algorithm for NNS in octrees.

Type
article
Published
2012-03-05
Cited by
180
References
33
Access
Open access

Keywords

Computer science, Nearest neighbor search, k-nearest neighbors algorithm, Implementation, Iterative closest point

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