A Retrieval Method for 3D CAD Assembly Models Using 3D Radon Transform and Spherical Harmonic Transform Article Swipe
Kaoru Katayama
,
Takashi Hirashima
·
YOU?
·
· 2020
· Open Access
·
· DOI: https://doi.org/10.1587/transinf.2019dap0010
YOU?
·
· 2020
· Open Access
·
· DOI: https://doi.org/10.1587/transinf.2019dap0010
We present a retrieval method for 3D CAD assemblies consisted of multiple components. The proposed method distinguishes not only shapes of 3D CAD assemblies but also layouts of their components. Similarity between two assemblies is computed from feature quantities of the components constituting the assemblies. In order to make the similarity robust to translation and rotation of an assembly in 3D space, we use the 3D Radon transform and the spherical harmonic transform. We show that this method has better retrieval precision and efficiency than targets for comparison by experimental evaluation.
Related Topics
Concepts
CAD
Spherical harmonics
Computer science
Similarity (geometry)
Radon transform
Translation (biology)
Rotation (mathematics)
Harmonic
Artificial intelligence
Feature (linguistics)
Pattern recognition (psychology)
Algorithm
Mathematics
Engineering drawing
Image (mathematics)
Acoustics
Physics
Mathematical analysis
Philosophy
Biochemistry
Engineering
Linguistics
Gene
Messenger RNA
Chemistry
Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1587/transinf.2019dap0010
- https://www.jstage.jst.go.jp/article/transinf/E103.D/5/E103.D_2019DAP0010/_pdf
- OA Status
- diamond
- Cited By
- 6
- References
- 16
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W3023680715
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W3023680715Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.1587/transinf.2019dap0010Digital Object Identifier
- Title
-
A Retrieval Method for 3D CAD Assembly Models Using 3D Radon Transform and Spherical Harmonic TransformWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2020Year of publication
- Publication date
-
2020-04-30Full publication date if available
- Authors
-
Kaoru Katayama, Takashi HirashimaList of authors in order
- Landing page
-
https://doi.org/10.1587/transinf.2019dap0010Publisher landing page
- PDF URL
-
https://www.jstage.jst.go.jp/article/transinf/E103.D/5/E103.D_2019DAP0010/_pdfDirect link to full text PDF
- Open access
-
YesWhether a free full text is available
- OA status
-
diamondOpen access status per OpenAlex
- OA URL
-
https://www.jstage.jst.go.jp/article/transinf/E103.D/5/E103.D_2019DAP0010/_pdfDirect OA link when available
- Concepts
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CAD, Spherical harmonics, Computer science, Similarity (geometry), Radon transform, Translation (biology), Rotation (mathematics), Harmonic, Artificial intelligence, Feature (linguistics), Pattern recognition (psychology), Algorithm, Mathematics, Engineering drawing, Image (mathematics), Acoustics, Physics, Mathematical analysis, Philosophy, Biochemistry, Engineering, Linguistics, Gene, Messenger RNA, ChemistryTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
6Total citation count in OpenAlex
- Citations by year (recent)
-
2025: 2, 2023: 1, 2022: 3Per-year citation counts (last 5 years)
- References (count)
-
16Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
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| referenced_works | https://openalex.org/W2116466193, https://openalex.org/W2046150577, https://openalex.org/W2023056405, https://openalex.org/W2155806937, https://openalex.org/W2937412180, https://openalex.org/W2103533657, https://openalex.org/W2056345552, https://openalex.org/W1988260477, https://openalex.org/W2149708440, https://openalex.org/W1560811868, https://openalex.org/W1561952261, https://openalex.org/W1997041243, https://openalex.org/W1757705478, https://openalex.org/W2282096937, https://openalex.org/W1984892632, https://openalex.org/W2613240410 |
| referenced_works_count | 16 |
| abstract_inverted_index.a | 2 |
| abstract_inverted_index.3D | 6, 21, 60, 65 |
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| abstract_inverted_index.We | 0, 73 |
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| abstract_inverted_index.of | 10, 20, 27, 39, 56 |
| abstract_inverted_index.to | 47, 52 |
| abstract_inverted_index.we | 62 |
| abstract_inverted_index.CAD | 7, 22 |
| abstract_inverted_index.The | 13 |
| abstract_inverted_index.and | 54, 68, 82 |
| abstract_inverted_index.but | 24 |
| abstract_inverted_index.for | 5, 86 |
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| abstract_inverted_index.precision | 81 |
| abstract_inverted_index.retrieval | 3, 80 |
| abstract_inverted_index.spherical | 70 |
| abstract_inverted_index.transform | 67 |
| abstract_inverted_index.Similarity | 30 |
| abstract_inverted_index.assemblies | 8, 23, 33 |
| abstract_inverted_index.comparison | 87 |
| abstract_inverted_index.components | 41 |
| abstract_inverted_index.efficiency | 83 |
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| abstract_inverted_index.distinguishes | 16 |
| cited_by_percentile_year.max | 97 |
| cited_by_percentile_year.min | 89 |
| countries_distinct_count | 1 |
| institutions_distinct_count | 2 |
| sustainable_development_goals[0].id | https://metadata.un.org/sdg/7 |
| sustainable_development_goals[0].score | 0.49000000953674316 |
| sustainable_development_goals[0].display_name | Affordable and clean energy |
| citation_normalized_percentile.value | 0.61966851 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | False |