k-ANNS for a dense 3D map of geometric points

Within a dataset of nn points in a dense 3D geometric map, find approximately the kk closest points to a specified point.

Parameters

  • nn: number of points in dataset
  • kk: number of neighbors to find

Filters

Computational Model

Randomization

Approximation

Algorithms Table

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Projected radial search2013O(nlogn)O(n \log n)O(n)O(n)

Reductions Table

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Other relevant algorithms

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