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Feature-Preserving Point Cloud Simplification Based on Adaptive Graph Filtering

dc.contributor.authorLin, Li
dc.contributor.authorZeng, Yan
dc.contributor.authorCheng, Guozhong
dc.contributor.authorXu, Bo
dc.date.accessioned2026-08-20T21:25:13Z
dc.date.available2026-08-20T21:25:13Z
dc.date.copyright2025/09/29
dc.date.issued2026
dc.identifier.otherJCCEE5.CPENG-6725.pdf
dc.identifier.urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4314422
dc.description.abstractAbstractThe simplification of point clouds holds great significance because it decreases computational and storage burdens. Due to the distinct feature of different point cloud data (PCD), most existing resampling methods often need manual adjustments to ...
dc.publisherAmerican Society of Civil Engineers
dc.titleFeature-Preserving Point Cloud Simplification Based on Adaptive Graph Filtering
dc.typeJournal Article
dc.journal.volume40
dc.journal.issue1
dc.journal.titleJournal of Computing in Civil Engineering
dc.identifier.doi10.1061/JCCEE5.CPENG-6725
dc.journal.fristpage04025125-1
dc.journal.lastpage04025125-13
dc.page13
dc.treeJournal of Computing in Civil Engineering:;2026:;Volume ( 040 ):;issue: 001
dc.contenttypeFulltext


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