Log InRegister
Quick Links : The Mindat ManualThe Rock H. Currier Digital LibraryMindat Newsletter [Free Download]
Home PageAbout MindatThe Mindat ManualHistory of MindatCopyright StatusWho We AreContact UsAdvertise on Mindat
Donate to MindatCorporate SponsorshipSponsor a PageSponsored PagesMindat AdvertisersAdvertise on Mindat
Learning CenterWhat is a mineral?The most common minerals on earthInformation for EducatorsMindat ArticlesThe ElementsThe Rock H. Currier Digital LibraryGeologic Time
Minerals by PropertiesMinerals by ChemistryAdvanced Locality SearchRandom MineralRandom LocalitySearch by minIDLocalities Near MeSearch ArticlesSearch GlossaryMore Search Options
Search For:
Mineral Name:
Locality Name:
Keyword(s):
 
The Mindat ManualAdd a New PhotoRate PhotosLocality Edit ReportCoordinate Completion ReportAdd Glossary Item
Mining CompaniesStatisticsUsersMineral MuseumsClubs & OrganizationsMineral Shows & EventsThe Mindat DirectoryDevice SettingsThe Mineral Quiz
Photo SearchPhoto GalleriesSearch by ColorNew Photos TodayNew Photos YesterdayMembers' Photo GalleriesPast Photo of the Day GalleryPhotography

Chen, Hui, Liang, Man, Liu, Wanquan, Wang, Weina, Liu, Peter Xiaoping (2022) An approach to boundary detection for 3D point clouds based on DBSCAN clustering. Pattern Recognition, 124. 108431pp. doi:10.1016/j.patcog.2021.108431

Advanced
   -   Only viewable:
Reference TypeJournal (article/letter/editorial)
TitleAn approach to boundary detection for 3D point clouds based on DBSCAN clustering
JournalPattern Recognition
AuthorsChen, HuiAuthor
Liang, ManAuthor
Liu, WanquanAuthor
Wang, WeinaAuthor
Liu, Peter XiaopingAuthor
Year2022 (April)Volume124
PublisherElsevier BV
DOIdoi:10.1016/j.patcog.2021.108431Search in ResearchGate
Generate Citation Formats
Mindat Ref. ID13114562Long-form Identifiermindat:1:5:13114562:9
GUID0
Full ReferenceChen, Hui, Liang, Man, Liu, Wanquan, Wang, Weina, Liu, Peter Xiaoping (2022) An approach to boundary detection for 3D point clouds based on DBSCAN clustering. Pattern Recognition, 124. 108431pp. doi:10.1016/j.patcog.2021.108431
Plain TextChen, Hui, Liang, Man, Liu, Wanquan, Wang, Weina, Liu, Peter Xiaoping (2022) An approach to boundary detection for 3D point clouds based on DBSCAN clustering. Pattern Recognition, 124. 108431pp. doi:10.1016/j.patcog.2021.108431
In(2022) Pattern Recognition Vol. 124. Elsevier BV

See Also

These are possibly similar items as determined by title/reference text matching only.

Chen, Hui, Xie, Tingting, Liang, Man, Liu, Wanquan, Liu, Peter Xiaoping (2023) A local tangent plane distance-based approach to 3D point cloud segmentation via clustering. Pattern Recognition, 137. 109307 doi:10.1016/j.patcog.2023.109307
Xie, Tingting, Chen, Hui, Liu, Wanquan, Zhou, Rongyu, Li, Qilin (2024) 3D surface segmentation from point clouds via quadric fits based on DBSCAN clustering. Pattern Recognition, 154. 110589 doi:10.1016/j.patcog.2024.110589
Qian, Rui, Lai, Xin, Li, Xirong (2022) BADet: Boundary-Aware 3D Object Detection from Point Clouds. Pattern Recognition, 125. 108524pp. doi:10.1016/j.patcog.2022.108524
Wang, Huafeng, Zhang, Yaming, Liu, Wanquan, Gu, Xianfeng, Jing, Xin, Liu, Zicheng (2022) A novel GCN-based point cloud classification model robust to pose variances. Pattern Recognition, 121. 108251pp. doi:10.1016/j.patcog.2021.108251
Zou, Yu, Wang, Xueqian, Zhang, Tao, Liang, Bin, Song, Jingyan, Liu, Houde (2018) BRoPH: An efficient and compact binary descriptor for 3D point clouds. Pattern Recognition, 76. 522-536 doi:10.1016/j.patcog.2017.11.029
Li, Qilin, Ren, Yan, Li, Ling, Liu, Wanquan (2016) Fuzzy based affinity learning for spectral clustering. Pattern Recognition, 60. 531-542 doi:10.1016/j.patcog.2016.06.011
Wang, Qi, Chen, Jian, Deng, Jianqiang, Zhang, Xinfang (2021) 3D-CenterNet: 3D object detection network for point clouds with center estimation priority. Pattern Recognition, 115. 107884pp. doi:10.1016/j.patcog.2021.107884
Huang, Xiaogang, Ma, Tiefeng, Liu, Conan, Liu, Shuangzhe (2023) GriT-DBSCAN: A spatial clustering algorithm for very large databases. Pattern Recognition, 142. 109658 doi:10.1016/j.patcog.2023.109658
Zhu, Yanjiao, Li, Qilin, Liu, Wanquan, Yin, Chuancun (2025) Diffusion process with structural changes for subspace clustering. Pattern Recognition, 158. doi:10.1016/j.patcog.2024.111066
Li, Qilin, Liu, Wanquan, Li, Ling (2018) Affinity learning via a diffusion process for subspace clustering. Pattern Recognition, 84. 39-50 doi:10.1016/j.patcog.2018.07.002
Nosovskiy, Gleb V., Liu, Dongquan, Sourina, Olga (2008) Automatic clustering and boundary detection algorithm based on adaptive influence function. Pattern Recognition, 41 (9). 2757-2776 doi:10.1016/j.patcog.2008.01.021
 
and/or  
Mindat.org is an outreach project of the Hudson Institute of Mineralogy, a 501(c)(3) not-for-profit organization.
Copyright © mindat.org and the Hudson Institute of Mineralogy 1993-2025, except where stated. Most political location boundaries are Β© OpenStreetMap contributors. Mindat.org relies on the contributions of thousands of members and supporters. Founded in 2000 by Jolyon Ralph.
To cite: Ralph, J., Von Bargen, D., Martynov, P., Zhang, J., Que, X., Prabhu, A., Morrison, S. M., Li, W., Chen, W., & Ma, X. (2025). Mindat.org: The open access mineralogy database to accelerate data-intensive geoscience research. American Mineralogist, 110(6), 833–844. doi:10.2138/am-2024-9486.
Privacy Policy - Terms & Conditions - Contact Us / DMCA issues - Report a bug/vulnerability Current server date and time: August 31, 2025 16:23:57
Go to top of page