Reflective Noise Filtering of Large-Scale Point Cloud Using Transformer
Reflective Noise Filtering of Large-Scale Point Cloud Using Transformer
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Basel: MDPI AG
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Language
English
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Basel: MDPI AG
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Point clouds acquired with LiDAR are widely adopted in various fields, such as three-dimensional (3D) reconstruction, autonomous driving, and robotics. However, the high-density point cloud of large scenes captured with Lidar usually contains a large number of virtual points generated by the specular reflections of reflective materials, such as gla...
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Full title
Reflective Noise Filtering of Large-Scale Point Cloud Using Transformer
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TN_cdi_doaj_primary_oai_doaj_org_article_4bff66e0fe4d4fedbeffc14a74b75463
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https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_4bff66e0fe4d4fedbeffc14a74b75463
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ISSN
2072-4292
E-ISSN
2072-4292
DOI
10.3390/rs14030577
