An ICP algorithm based on block path closest point search Article Swipe
Kuisheng Wang
,
Xing Li
,
Hongwei Lei
,
Xiaorui Zhang
·
YOU?
·
· 2017
· Open Access
·
· DOI: https://doi.org/10.1088/1742-6596/887/1/012063
YOU?
·
· 2017
· Open Access
·
· DOI: https://doi.org/10.1088/1742-6596/887/1/012063
At present, the traditional ICP algorithm has the problems of low efficiency and low precision. To solve these two problems, an ICP algorithm based on block path closest point search is proposed in this paper. The idea of the algorithm is as follows: firstly, the point cloud data is divided into blocks, and the nearest point block corresponding to the target point cloud is searched by the path method. Secondly, according to the global method, the nearest point can be determined only by finding the nearest point block, and complete all the closest match. The experimental results show that the improved ICP algorithm has faster speed and higher precision than the traditional ICP algorithm, for a large number of point cloud data advantage is more obvious.
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- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1088/1742-6596/887/1/012063
- OA Status
- diamond
- Cited By
- 2
- References
- 3
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- 10
- OpenAlex ID
- https://openalex.org/W2751077942
All OpenAlex metadata
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https://openalex.org/W2751077942Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.1088/1742-6596/887/1/012063Digital Object Identifier
- Title
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An ICP algorithm based on block path closest point searchWork title
- Type
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articleOpenAlex work type
- Language
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enPrimary language
- Publication year
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2017Year of publication
- Publication date
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2017-08-01Full publication date if available
- Authors
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Kuisheng Wang, Xing Li, Hongwei Lei, Xiaorui ZhangList of authors in order
- Landing page
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https://doi.org/10.1088/1742-6596/887/1/012063Publisher landing page
- Open access
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YesWhether a free full text is available
- OA status
-
diamondOpen access status per OpenAlex
- OA URL
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https://doi.org/10.1088/1742-6596/887/1/012063Direct OA link when available
- Concepts
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Point cloud, Block (permutation group theory), Algorithm, Iterative closest point, Point (geometry), Path (computing), Computer science, k-nearest neighbors algorithm, Mathematics, Artificial intelligence, Geometry, Programming languageTop concepts (fields/topics) attached by OpenAlex
- Cited by
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2Total citation count in OpenAlex
- Citations by year (recent)
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2021: 1, 2018: 1Per-year citation counts (last 5 years)
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3Number of works referenced by this work
- Related works (count)
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10Other works algorithmically related by OpenAlex
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| corresponding_author_ids | https://openalex.org/A5057505570, https://openalex.org/A5061012333 |
| countries_distinct_count | 1 |
| institutions_distinct_count | 4 |
| corresponding_institution_ids | https://openalex.org/I181903023 |
| citation_normalized_percentile.value | 0.77912609 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | False |