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    Feature-Preserving Point Cloud Simplification Based on Adaptive Graph Filtering

    Source: Journal of Computing in Civil Engineering:;2026:;Volume ( 040 ):;issue: 001::page 04025125-1
    Author:
    Lin, Li
    ,
    Zeng, Yan
    ,
    Cheng, Guozhong
    ,
    Xu, Bo
    DOI: 10.1061/JCCEE5.CPENG-6725
    Publisher: American Society of Civil Engineers
    Abstract: AbstractThe 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 ...
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      Feature-Preserving Point Cloud Simplification Based on Adaptive Graph Filtering

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    https://yetl.yabesh.ir/yetl1/handle/yetl/4314422
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    contributor authorLin, Li
    contributor authorZeng, Yan
    contributor authorCheng, Guozhong
    contributor authorXu, Bo
    date accessioned2026-08-20T21:25:13Z
    date available2026-08-20T21:25:13Z
    date copyright2025/09/29
    date issued2026
    identifier otherJCCEE5.CPENG-6725.pdf
    identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4314422
    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 ...
    publisherAmerican Society of Civil Engineers
    titleFeature-Preserving Point Cloud Simplification Based on Adaptive Graph Filtering
    typeJournal Article
    journal volume40
    journal issue1
    journal titleJournal of Computing in Civil Engineering
    identifier doi10.1061/JCCEE5.CPENG-6725
    journal fristpage04025125-1
    journal lastpage04025125-13
    page13
    treeJournal of Computing in Civil Engineering:;2026:;Volume ( 040 ):;issue: 001
    contenttypeFulltext
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    DSpace software copyright © 2002-2015  DuraSpace
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