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The Iterative Closest Point Registration Algorithm Based on the Normal Distribution Transformation

Research article (Procedia Computer Science, 2019) · cited 62× · AI/ML
academia openalex:W2914913332
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The Iterative Closest Point Registration Algorithm Based on the Normal Distribution Transformation

Summary

The Iterative Closest Point Registration Algorithm Based on the Normal Distribution Transformation is a scholarly article[1].

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  • The Iterative Closest Point Registration Algorithm Based on the Normal Distribution Transformation's instance of is recorded as scholarly article[2].

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Direct Wikidata claims

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  1. [1] ↑ . Wikidata. wikidata.org.

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APA 4ort.xyz Knowledge Graph. (2026). The Iterative Closest Point Registration Algorithm Based on the Normal Distribution Transformation. Retrieved May 24, 2026, from https://4ort.xyz/entity/the-iterative-closest-point-registration-algorithm-based-on-the-normal-distribution-transformation
MLA “The Iterative Closest Point Registration Algorithm Based on the Normal Distribution Transformation.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/the-iterative-closest-point-registration-algorithm-based-on-the-normal-distribution-transformation.
BibTeX @misc{4ortxyz_the-iterative-closest-point-registration-algorithm-based-on-the-normal-distribution-transformation_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{The Iterative Closest Point Registration Algorithm Based on the Normal Distribution Transformation}}, year = {2026}, url = {https://4ort.xyz/entity/the-iterative-closest-point-registration-algorithm-based-on-the-normal-distribution-transformation}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): The Iterative Closest Point Registration Algorithm Based on the Normal Distribution Transformation — https://4ort.xyz/entity/the-iterative-closest-point-registration-algorithm-based-on-the-normal-distribution-transformation (retrieved 2026-05-24)

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