A study on the detection of bulging disease in ancient city walls based on fitted initial outer planes from 3D point cloud data Article Swipe
Yungang Hu
,
Baicheng Feng
,
Miaole Hou
·
YOU?
·
· 2023
· Open Access
·
· DOI: https://doi.org/10.1186/s40494-022-00856-6
YOU?
·
· 2023
· Open Access
·
· DOI: https://doi.org/10.1186/s40494-022-00856-6
Bulging is a common disease suffered by ancient city walls, especially clay brick walls. Bulging affects or even threatens the stability of outer structures of ancient city walls. Therefore, accurate identification of bulges is one of the urgent issues to be addressed in ancient city wall conservation. In this study, a novel method is proposed for detecting and identifying bulge information using point cloud data collected from the outer surface of an ancient city wall. The non-bulging points are identified in the sliced point cloud of a city wall, and then the initial plane of the city wall is fitted more accurately with the aid of spatial constraints. Finally, the bulging damage is identified and extracted by comparing the initial plane with the original point cloud. This method was applied to the project of ancient city wall conservation and was compared with other existing methods in effectiveness and accuracy. The results show that the proposed method can detect efficiently budging disease in ancient city walls for architectural heritage conservation.
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Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1186/s40494-022-00856-6
- https://heritagesciencejournal.springeropen.com/counter/pdf/10.1186/s40494-022-00856-6
- OA Status
- gold
- Cited By
- 4
- References
- 31
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4316339992
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4316339992Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.1186/s40494-022-00856-6Digital Object Identifier
- Title
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A study on the detection of bulging disease in ancient city walls based on fitted initial outer planes from 3D point cloud dataWork title
- Type
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articleOpenAlex work type
- Language
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enPrimary language
- Publication year
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2023Year of publication
- Publication date
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2023-01-16Full publication date if available
- Authors
-
Yungang Hu, Baicheng Feng, Miaole HouList of authors in order
- Landing page
-
https://doi.org/10.1186/s40494-022-00856-6Publisher landing page
- PDF URL
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https://heritagesciencejournal.springeropen.com/counter/pdf/10.1186/s40494-022-00856-6Direct link to full text PDF
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YesWhether a free full text is available
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goldOpen access status per OpenAlex
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https://heritagesciencejournal.springeropen.com/counter/pdf/10.1186/s40494-022-00856-6Direct OA link when available
- Concepts
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Point cloud, Plane (geometry), Point (geometry), Cloud computing, Ancient city, Brick, Geology, Archaeology, Computer science, Geometry, Geography, Mathematics, Artificial intelligence, Operating systemTop concepts (fields/topics) attached by OpenAlex
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4Total citation count in OpenAlex
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2025: 2, 2023: 2Per-year citation counts (last 5 years)
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31Number of works referenced by this work
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10Other works algorithmically related by OpenAlex
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| abstract_inverted_index.in | 43, 81, 146, 162 |
| abstract_inverted_index.is | 2, 34, 54, 99, 113 |
| abstract_inverted_index.of | 22, 25, 32, 36, 71, 86, 95, 106, 134 |
| abstract_inverted_index.or | 17 |
| abstract_inverted_index.to | 40, 131 |
| abstract_inverted_index.The | 76, 150 |
| abstract_inverted_index.aid | 105 |
| abstract_inverted_index.and | 58, 90, 115, 139, 148 |
| abstract_inverted_index.are | 79 |
| abstract_inverted_index.can | 157 |
| abstract_inverted_index.for | 56, 166 |
| abstract_inverted_index.one | 35 |
| abstract_inverted_index.the | 20, 37, 68, 82, 92, 96, 104, 110, 119, 123, 132, 154 |
| abstract_inverted_index.was | 129, 140 |
| abstract_inverted_index.This | 127 |
| abstract_inverted_index.city | 9, 27, 45, 74, 88, 97, 136, 164 |
| abstract_inverted_index.clay | 12 |
| abstract_inverted_index.data | 65 |
| abstract_inverted_index.even | 18 |
| abstract_inverted_index.from | 67 |
| abstract_inverted_index.more | 101 |
| abstract_inverted_index.show | 152 |
| abstract_inverted_index.that | 153 |
| abstract_inverted_index.then | 91 |
| abstract_inverted_index.this | 49 |
| abstract_inverted_index.wall | 46, 98, 137 |
| abstract_inverted_index.with | 103, 122, 142 |
| abstract_inverted_index.brick | 13 |
| abstract_inverted_index.bulge | 60 |
| abstract_inverted_index.cloud | 64, 85 |
| abstract_inverted_index.novel | 52 |
| abstract_inverted_index.other | 143 |
| abstract_inverted_index.outer | 23, 69 |
| abstract_inverted_index.plane | 94, 121 |
| abstract_inverted_index.point | 63, 84, 125 |
| abstract_inverted_index.using | 62 |
| abstract_inverted_index.wall, | 89 |
| abstract_inverted_index.wall. | 75 |
| abstract_inverted_index.walls | 165 |
| abstract_inverted_index.bulges | 33 |
| abstract_inverted_index.cloud. | 126 |
| abstract_inverted_index.common | 4 |
| abstract_inverted_index.damage | 112 |
| abstract_inverted_index.detect | 158 |
| abstract_inverted_index.fitted | 100 |
| abstract_inverted_index.issues | 39 |
| abstract_inverted_index.method | 53, 128, 156 |
| abstract_inverted_index.points | 78 |
| abstract_inverted_index.sliced | 83 |
| abstract_inverted_index.study, | 50 |
| abstract_inverted_index.urgent | 38 |
| abstract_inverted_index.walls, | 10 |
| abstract_inverted_index.walls. | 14, 28 |
| abstract_inverted_index.Bulging | 1, 15 |
| abstract_inverted_index.affects | 16 |
| abstract_inverted_index.ancient | 8, 26, 44, 73, 135, 163 |
| abstract_inverted_index.applied | 130 |
| abstract_inverted_index.budging | 160 |
| abstract_inverted_index.bulging | 111 |
| abstract_inverted_index.disease | 5, 161 |
| abstract_inverted_index.initial | 93, 120 |
| abstract_inverted_index.methods | 145 |
| abstract_inverted_index.project | 133 |
| abstract_inverted_index.results | 151 |
| abstract_inverted_index.spatial | 107 |
| abstract_inverted_index.surface | 70 |
| abstract_inverted_index.Abstract | 0 |
| abstract_inverted_index.Finally, | 109 |
| abstract_inverted_index.accurate | 30 |
| abstract_inverted_index.compared | 141 |
| abstract_inverted_index.existing | 144 |
| abstract_inverted_index.heritage | 168 |
| abstract_inverted_index.original | 124 |
| abstract_inverted_index.proposed | 55, 155 |
| abstract_inverted_index.suffered | 6 |
| abstract_inverted_index.accuracy. | 149 |
| abstract_inverted_index.addressed | 42 |
| abstract_inverted_index.collected | 66 |
| abstract_inverted_index.comparing | 118 |
| abstract_inverted_index.detecting | 57 |
| abstract_inverted_index.extracted | 116 |
| abstract_inverted_index.stability | 21 |
| abstract_inverted_index.threatens | 19 |
| abstract_inverted_index.Therefore, | 29 |
| abstract_inverted_index.accurately | 102 |
| abstract_inverted_index.especially | 11 |
| abstract_inverted_index.identified | 80, 114 |
| abstract_inverted_index.structures | 24 |
| abstract_inverted_index.efficiently | 159 |
| abstract_inverted_index.identifying | 59 |
| abstract_inverted_index.information | 61 |
| abstract_inverted_index.non-bulging | 77 |
| abstract_inverted_index.conservation | 138 |
| abstract_inverted_index.constraints. | 108 |
| abstract_inverted_index.architectural | 167 |
| abstract_inverted_index.conservation. | 47, 169 |
| abstract_inverted_index.effectiveness | 147 |
| abstract_inverted_index.identification | 31 |
| cited_by_percentile_year.max | 97 |
| cited_by_percentile_year.min | 94 |
| corresponding_author_ids | https://openalex.org/A5009132237 |
| countries_distinct_count | 1 |
| institutions_distinct_count | 3 |
| corresponding_institution_ids | https://openalex.org/I62853816 |
| sustainable_development_goals[0].id | https://metadata.un.org/sdg/11 |
| sustainable_development_goals[0].score | 0.8100000023841858 |
| sustainable_development_goals[0].display_name | Sustainable cities and communities |
| citation_normalized_percentile.value | 0.84891154 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | False |