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September 17, 2025IEEE Transactions on Pattern Analysis and Machine Intelligence8 citationsOpen Access

Dynamic Programming Approach for Efficient Nearest Neighbor Search in 3D Space

Efficient Nearest Neighbor Search Using Dynamic Programming

Authors

Dynamic programming enhances nearest neighbor search performance in varied applications, suggesting improved query mechanics.

Our algorithm achieves a speed increase of 1-10x in nearest neighbor search, enhancing query performance significantly.
Key applications include point-to-mesh distance queries and density peak clustering, underscoring its versatile utility.
The novel use of a directed acyclic graph enables efficient proximity structure encoding during Voronoi diagram construction.
This method shows adaptability for farthest-point sampling, broadening its practical implications across applications.

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Wang et al. (2025) studied this question.

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September 17, 2025IEEE Transactions on Pattern Analysis and Machine Intelligence8 citationsOpen Access

Efficient Nearest Neighbor Search Using Dynamic Programming

Authors

Dynamic programming enhances nearest neighbor search performance in varied applications, suggesting improved query mechanics.

Our algorithm achieves a speed increase of 1-10x in nearest neighbor search, enhancing query performance significantly.
Key applications include point-to-mesh distance queries and density peak clustering, underscoring its versatile utility.
The novel use of a directed acyclic graph enables efficient proximity structure encoding during Voronoi diagram construction.
This method shows adaptability for farthest-point sampling, broadening its practical implications across applications.

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View Full Paper

Wang et al. (2025) studied this question.

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Helpful

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View Full Paper